Python Certification

Learn Python Programming Language from Basics to Advanced

  • 24 hours of Instructor led Training
  • Immersive hands-on training on Python
  • Learn Python core concepts-control flow, operators, functions, syntax & indentations
  • Learn Best Coding Practices
Group Discount
HRDF Claimable

Description

Open the doors of your career in Data Science with the help of Python Certification. KnowledgeHut’s course gives you knowledge about its architecture and design philosophy, and the basics of scripts, applications, and packages through hands-on practical sessions. Over the duration of the course, you will interact with the instructors in real-time, that is, listen, learn, interact, question, and apply.

The course curriculum has been designed in such a manner that you’ll receive the most advanced knowledge and skills. You can become an expert in Python by grabbing the opportunity to learn hands-on coding with guidance and reviews from our mentors. You will be learning from the best in the field as all our trainers and mentors are experienced professionals.

If you have a basic knowledge of programming concepts and object-oriented concepts and wish to make a career out of Python as a Software Engineer, Python Developer, Data Scientist, Data Analyst, Research Analyst or Software Developer, then choose the best Python certification course and make your dream career come true!

Our Python Certification with Hands-on experience projects will assist you to learn:

  • About interpreters and Python Script
  • How to install Anaconda and Python distribution
  • To write Python code to implement string operations
  • To write Python code to understand and implement Python Data Structures
  • To write Python code to implement loop and control structures in R
  • To write Python code to create your own custom functions without or with arguments. Also, learn how to call them by passing arguments as per requirements
  • To write Python code to create modules as well as execute them
  • To write Python code to use Regular Expression and match pattern, parse data and so on
  • To write Python code to construct a class and define objects

Do you know what exactly is Python?

It’s not as complicated as you think!

Python is a high-level performing, object-oriented, multi-purpose programming language. It has an integrated dynamic semantics which is mostly used for web development as well as app development. Python offers dynamic typing and dynamic binding, which makes it appealing in the field of Rapid Application Development. Also, Python supports packages and modules, encouraging code reuse and program modularity.

History of Python

Python was created by Guido Van Rossum.

He started designing Python programming language during the 1980s and released it for the first time in February 1991. Various versions have been released since then, with 3.7.3 being the latest version.

In February 1991, Van Rossum published the labeled code version 0.9.0, where classes with inheritance, functions, exception handling and all the core datatypes of the list, dict, str, etc. were already in the stage of development.

When to Learn Python 2?

With Python 2 on the verge of becoming obsolete and being replaced by Python 3, the question of which is the better version of Python to learn has become a topic of debate within the coding community. This might lead you to wonder whether you need to learn Python 2 at all. TThere are still some situations in which you might need to know Python 2:

  • If the project that you are working on depends on certain libraries or third-party software which cannot be ported to Python 3, you will not have any other choice but to use Python 2 for the same.
  • If the legacy code of your company is written in Python 2, you’ll have to work with Python 2.
  • If you wish to become a DevOps engineer and work with configuration management tools like Ansible or Fabric, then you will have to work with both Python 2 as well as Python 3 as parts of these libraries don’t have the full support of Python 3.

When to Learn Python 3?

If you are a beginner and are wondering where to start, then Python 3 is the right choice for you. WIth next to no compatibility issues, Python 3 has changes that have made it easier to understand for beginners, making it the best choice to learn Python for the first time. With Python 3 being the future and Python 2 dying out, you should invest your time in learning the version of Python which will help you into the future.

But, whichever version of Python you decide to start with, it will be an easy process for you to transfer your knowledge to the other when needed.

Why was Python named as Python?

Besides implementing Python, Guido Van Rossum was also reading published scripts from a BBC comedy series, “Monty Python’s Flying Circus” from the 1970s. With the need for a short, unique and slightly mysterious name, he decided to name the language as Python.

Python version 1.0:

  • Was released in January 1994,
  • Included the release of functional programming tools like lambda, map, filter and reduce.

Python version 2.0:

  • Was released in October 2000
  • Introduced list comprehensions, garbage collection system which is capable of collecting reference cycles.

Python Versions & Release Date

Sr. No.

Python Versions

Date of Documentation

1.

Python 3.7.3

25 March 2019

2.

Python 3.7.2

24 December 2018

3.

Python 3.7.1

20 October 2018.

4.

Python 3.7.0

27 June 2018

5.

Python 3.6.8

24 December 2018

6.

Python 3.0

3 December 2008

7.

Python 2.7.16

02 March 2019

8.

Python 2.7.15

30 April 2018

9.

Python 2.7.14

16 September 2017

10.

Python 2.7.13

17 December 2016

11.

Python 2.7.12

26 June 2016.

12.

Python 2.0

16 October 2000

13.

Python 1.6

5 September 2000

14.

Python 1.5.2p2

22 March 2000

15.

Python 1.5.2p1

6 July 1999

16.

Python 1.5.2

30 April 1999


Major Differences b/w Python 2.X Series &  Python 3.X Series

The announcement in 2014 that Python 2.7 would be supported until 2020, encouraged users to move to Python 3 from Python 2, making Python 2 nearly obsolete and Python 3 the future. This table shows why companies are moving from Python 2 to Python 3.

Sr. No.

Python 2.X

Python 3.X

1.

A string is stored as ASCII  by default.

A string is stored as Unicode by default.

2.

Treats “print” as a statement.

Treats “print” as a function.

3.

Division of integers always returns integers. [5/2=2]

Division of integers may result in a float. [5/2=2.5]

4.

raw_input() reads strings.

raw_input() is not available.

5.

input() evaluates data read.

input() always reads string.

Applications of Python

Being a user-friendly language, Python is used in various domains. Below mentioned are a few applications of Python language:

1. Web and Internet Development:
Python has libraries for internet protocols like HTML and XML, JSON, etc. as well as an easy-to-use socket interface, making the process of web development hassle free.

2. GUI Based Desktop Application:
With numerous GUI toolkits available, like wxPython, PyQt or PyGtk, developers can create highly functional Graphical User Interfaces (GUI).

3. Operating Systems:
Python has developed to become an integral part of Linux distributions. For example, Ubiquity Installer of Ubuntu has been developed in Python.

4. Science and Numeric Applications:
Python has become an integral part of the application of computation and processing of scientific data due to its productivity, availability of tools and higher speed. To name a few tools: SciPy, Pandas, IPython, etc.

5. Software Development Applications:
Python is used as a support language by Software developers for build-control and management, testing, etc.

6. Application of Python in Education:
Python has paved its way to becoming an amazing language for teaching programmes, both at introductory as well as advanced level. Example: Scons, Buildbot, Apache Gump, etc.

7. Application of Python in Business:
Python is widely used to build ERPs and e-commerce systems. Example: Tryton, Odoo.

8. Database Access:
Customize different databases like MySQL, Microsoft SQL Server, Oracle, etc. with the help of Python.

9. Games and 3D Graphics:
With the help of various modules, libraries, and platforms that support the development of games, one can develop games with Python.  

10. Other Applications of Python:
Python is further used in the following applications

  • Applications for Images
  • Video or Audio based applications
  • 3D CAD Applications
  • Machine learning
  • Robotics
  • Artificial Intelligence
  • Web Scraping
  • Scripting
  • Enterprise Applications

It has a simple as well as an easy-to-use syntax, making it a perfect language to learn for a fresher who is trying to learn a programming language for the first time.

Features of Python:

One of the best features of Python programming is that the Python programs can be moved from one platform to another and can be run without making any additional changes on almost all platforms including Windows, Linux, and Mac OS X. It has a simple syntax, which is quite similar to the English language. Moreover, its syntax allows developers to write programs with shorter or fewer lines as compared to other programming languages. Another major advantage with Python programming is that prototyping can be done very quickly, that is, a code can be executed as soon as it has been written.

Python has emerged as the most favored language for Data Analytics. It easily integrates with other technologies and offers greater stability, leading to higher programming productivity especially in complex Agile projects. Python reduces development time by nearly half due to it's easy to read syntax and simple compilation function. Python has a built-in debugger, making the process of debugging programs a straightforward task. Since a long time, the use of Python was restricted to scientific computing and highly quantitative domains such as finance, physics, oil and gas, and signal processing, but it is now finding increasing acceptance across all domains, especially in the field of Data Science.

Future of Python

Python has widespread use in the domains of web development, application development, developing games, etc. It has been described as one of the most organized languages and standard languages by its users.  With the increase in popularity of Python language, it is expected to grow tremendously in the fields of Artificial Intelligence, Networking and Big Data in the near future.

Artificial Intelligence: Various frameworks, tools, and libraries are being developed to direct artificial intelligence to reduce human efforts and increase the accuracy and efficiency for development purposes.

Networking: Python performs various networking automation tasks such as reading, writing, and configuring routers and switches in a cost-effective and secure way with the help of various tools and libraries such as Ansible, Netmiko, etc.  

Big Data: Python programming language has helped the big data technology to grow. Thanks to its high-performance libraries and toolkits, Python continues to successfully contribute to the analysis of a large number of data sets. To name a few python libraries and toolkits for Data Analysis: Pandas, Scikit-Learn, NumPy, Dask, etc.

Companies using Python & Why do they use it?

As stated above, the Python programming language is extensively used for web development. It is used by big organizations as well as small start-ups to improve their productivity and meet the requirements of their customers. The following lists a few popular companies which use Python as the preferred language in Web Development, as well as mass companies that deploy Python.

Instagram:
After recently moving to Python 3, Instagram is a gigantic tech company which is using Python language in combination with Django, which is one of Python’s frameworks.

According to Instagram’s engineering team:

"Instagram currently features the world’s largest deployment of the Django web framework, which is written entirely in Python.

Google:
Python is used extensively by Google. It is now one of the official server-side-languages, C++, Golang and Java being the other ones. Moreover,  Peter Norvig said:

“Python has been an important part of Google since the beginning and remains so as the system grows and evolves. Today dozens of Google engineers use Python, and we’re looking for more people with skills in this language.”

Spotify:
Spotify uses Python primarily for back end services as well as data analysis. Spotify is a huge advocate of Python, due to the speed of processes of development while using Python.   

Netflix:
Just like Spotify, Netflix relies on Python for back end services and data analysis. Netflix allows its software engineers to choose their own language for coding, and have noticed the maximum usage being that of Python applications.

According to the technology blog of Netflix,

Developers at Netflix have the freedom to choose the technologies best suited for the job. More and more, developers turn to Python due to its rich batteries-included standard library, succinct and clean yet expressive syntax, large developer community, and the wealth of third-party libraries one can tap into to solve a given problem.”

Reddit:
Reddit is the fourth most visited site in the United States and the seventh most visited site in the world. The software backbone behind Reddit is Python. Originally, Reddit started coding with Lisp and was recorded in Python within 6 months of its launch. This happened because Python has a wider range of code libraries and is more flexible.

Quora:
This question and answer platform took their time to decide on the language which they wanted to use to implement their design. Taking their lead from Google, they finally decided on Python because of its ease of writing and readability. Another reason for them to opt for Python was because of the existence of several good frameworks, including Django and Pylons.

Uber:
Uber chose Python due to its ability to quickly provide the essential mathematical calculations they require for efficient working.

According to Uber engineers,
At the lower levels, Uber’s engineers primarily write in Python, Node.js, Go, and Java. We started with two main languages: Node.js for the Marketplace team, and Python for everyone else. These first languages still power most services running at Uber today.”

NASA:
NASA uses Python extensively and open sources a lot of their software.

Why Python Certification from KnowledgeHut?

Python has been voted as the most wanted technology of the year 2018, according to the 2018 Developer Survey by StackOverflow. Also, it has been ranked as the seventh most popular programming language in the world amongst software developers.

With various resources available in the market that can teach you to code in Python version 3 without any experience of coding in Python version 2, it is necessary that you make the right choice of course for you. Python 3 being the latest version of Python, is also the future. And starting with the latest version of a programming language is a decision that you will never regret.

The Python Certification course provided by KnowledgeHut is an instructor-led, 24 hours live session with 7- hours of MCQs and assignments. It also includes 22 hours of hands-on practical sessions with Python along with three use cases.

The Python certification training will introduce you to the world of Python and enable you to learn Python from scratch. It will expose you to its architecture, design philosophy, basics of scripts, applications, and packages through hands-on practical sessions.

What you will learn

Prerequisites

We recommend:

  • Knowledge of basic programming concepts
  • Knowledge of object-oriented concepts will be beneficial

3 Months FREE Access to all our E-learning courses when you buy any course with us

Who should Attend?

  • Web developers, programmers, engineers, big data scientists, etc
  • Professionals who want to strengthen their knowledge of Python
  • Suited for beginners and experienced professionals

KnowledgeHut Experience

Instructor-led Live Classroom

Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.

Curriculum Designed by Experts

Our courseware is designed by industry experts who have real-world experience. Get the most advanced knowledge and skills.

Hands-on coding

Learn theory backed by practical case studies, exercises, and coding practices. Apply skills and knowledge effectively in the real world.

Expert Mentorship

Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.

Advance from the Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get reviews and feedback on your final projects from professional developers.

Projects

Projects

Covers conditional statements, functions, classes, modules, regular expressions.

Note:These were the projects undertaken by students from previous batches.  

Curriculum

Learning Objective:

Learn about the history of Python and its various uses. Learn to use interpreters and also learn about how Python scripts work on UNIX/Windows.

Topic Covered:

  • History of Python
  • Why to use Python?
  • Starting Python
  • Interpreter PATH
  • Using the Interpreter
  • Python Scripts on UNIX/Windows

Hands-on:

Learn about interpreters and Python Script.

Learning Objective:

Learn how to install Python distribution - Anaconda. Learn basic data types, strings & regular expressions.

Topic Covered:

  • Python Editors and IDEs
  • Install Anaconda

Hands-on:

Install Anaconda - Python distribution

Learning Objective:

In this module, you will learn to convert messy text into something useful.

Topic Covered:

  • String Operations
  • Data Types & Variables
  • Commonly used Operators

Hands-on:

Write Python code to implement string operations.

Learning Objective: 

Learn the various data structures that are used in Python.

Topic Covered:

  • Arrays
  • Lists
  • Tuples
  • Dictionaries
  • Sets

Hands-on:

Write Python Code to understand and implement Python Data Structures.

Learning Objective:

Learn all about loops and control statements in Python.

Topic Covered:

  • For Loop
  • While Loop                
  • Break Statement
  • Next Statements
  • Repeat Statement
  • if, if…else Statements
  • Switch Statement

Hands-on: 

Write Python Code to implement loop and control structures in R.

Learning Objective:

Write user-defined functions in Python. Learn about Lambda function. Learn the object oriented way of writing classes & objects.

Topic Covered:

  • Writing your own functions (UDF)
  • Calling Python Functions                 
  • Functions with Arguments
  • Calling Python Functions by passing Arguments
  • Lambda Functions

Hands-on:

Write Python Code to create your own custom functions without or with arguments. Know how to call them by passing arguments wherever required.

Learning Objective: 

Learn to build modules and install packages.

Topic Covered:

  • The Import Statement
  • Module Search Path
  • Package Installation Ways

Hands-on:

Write Python Code to create modules and execute them.

Learning Objective: 

Learn about Regular Expression Objects, subexpressions, tips and tricks to implement while you code.

Topic Covered:

  • RE Objects
  • Pattern matching
  • Parsing data
  • Subexpressions
  • Complex substitutions
  • RE tips and tricks

Hands-on:

Write Python Code to use Regular Expression and match pattern, parse data and so on.

Learning Objective: 

Gain knowledge on OOPs to code easily and efficiently. Learn to construct classes and define objects.

Topic Covered:

  • Introduction to Python Classes
  • Defining Classes
  • Initializers
  • Instance Methods
  • Properties
  • Class Methods and Data
  • Static Methods
  • Private Methods and Inheritance
  • Module Aliases

Hands-on:

Write Python code to construct a class and define objects.

Learning Objective: 

Study Use Cases to explore Python

Topic Covered:

  • Use Case

Hands-on:

Use cases covering conditional statements, functions, classes, modules, regular expressions.

Python Certification Process

Learn Python

Python is a high level, interpreted, object oriented programming language which contains dynamic semantics.

  • The dynamic building and typing, along with the built data structures that Python offers, makes it a very lucrative language for the purposes of Rapid Application Development. 
  • Python offers syntax that is easy to learn and understand. It emphasizes readability and easy inference, thereby also reducing the cost of the maintenance of the program. 
  • The extensive standard library, as well as the Python interpreter, are also some of the reasons why Python is highly preferred by Developers across applications.
  • Python also offers increased productivity, owing to the elimination of the compilation step in all Python programmes.

Python was first conceptualised in the later 1980s by a man named Guido van Rossum, who was a member of the National Research Institute of Mathematics and Computer Science.

  • It was initially designed as a response to the ABC programming language founded in the Netherlands. 
  • While working as an implementer of the ABC programming language at the CWI (Centrum voor Wiskunde en Informatica), Van Rossum started working on the development of a scripting language that had a syntax resembling the ABC language, but had access to the AMOEBA system calls, which was a distribution system that he was working on at the time. 
  • He started the development of the new programming language that he hoped would overcome the flaws of the ABC language and finally introduced the initial version of the programming language in the year 1991, naming the module system as Modula 3.
  • Now back in the 1970s, there existed a popular BBC comedy TV show names Monty Python’s Fly Circus. Van Rossum was a big fan of this TV show and thus, named his pet project ‘Python’ after the show.

The developer of the Python language, an interpreter named Guido van Rossum developed Python as a means to overcome the shortcomings of the ABC language that he was working on, while being employed at the Centrum voor Wiskunde en Informatica (CWI).

Van Rossum was a huge fan of the comedy show ‘Monty Python’s Flying Circus’, a BBC comedy show that was a big hit in the 1970s. Van Rossum loved the show and was also looking for a name for his language that was unique, short and mysterious, which is why he named his language Python.

Python has become the preferred programming language for both, beginners as well as experts due to the following main reasons:

  • Community: Python has a big open-source community which means that there are thousands of projects already present online which you can just pick up and integrate with your own project.

  • Corporate sponsor: C# has Microsoft, PHP has Facebook, similarly Python has Google. Google heavily backs Python and uses it extensively. It also, therefore, regularly updates Python tutorials and guides for newbies looking to take up Python as their programming language.

  • Academics: Python, due to its general purpose tasks usability, is heavily used for research purposes. Fields like Data science, Machine learning etc. are powered by Python and its powerful libraries.

  • Efficiency: Python is highly versatile and efficient. You can develop a Python program and deploy it to any environment with little to no performance loss. It uses Regular expressions to minimize the length of the code and maximize its output.

  • Learning: This is perhaps the most attractive part of Python, which makes it so popular. Along with the numerous features it offers, Python is really easy to learn and understand given by its high readability. When compared to languages like Java, C# etc. Python has a shorter learning curve. Any newbie with little to no experience in even computer programming world can easily take up Python and start building software.

When compared to other programming languages like Java, C#, PHP etc. Python is still in trend today due to the following reasons:

  • Ease of learning: High readability and easy learning have forced many to start learning Python due to its syntax, which can be understood even if you’re not a Python expert which is not the case with most of the programming languages.

  • General-purpose: As Python can be used extensively for general purpose tasks, it has been employed into many software in different fields ranging from web development to cloud computing and to research fields like machine learning and data science as well.

  • Big community: Due to its big global community, the packages available are numerous and stable as well with updates being provided on a regular basis.

  • Flexibility: Python is a highly flexible language evident from its numerous implementations with other programming languages. So for example, if you think that Java is better suited for a particular task, you can easily use Jython for it. 

  • Business use: Python is attracting more and more non-technical professionals to itself due to its ability to put data analysis skill, a hot skill in today’s world, within one's grasp.

Below are the steps defined for beginners if you want to get started with Python.

  1. Understand why Python
  2. Install Python
  3. Use IDE
  4. Learn basics
  5. Implementation
    1. Understand why Python: First of all, it is important to understand why you are going to use or learn Python in the first place. This step will help create motivation for the whole of the learning process.

    2. Install Python: After deciding which version of Python you will be needing for your purposes, install it either from the official website or Anaconda package manager.

    3. Use IDE: As a beginner, it is important to understand your errors and learn from them. IDEs help for the same by debugging your code.

    4. Learn basics: You can use online videos, courses or even blogs to get you started with the technical aspects of Python such as variables, functions, lists, tuples etc.

    5. Implementation: No learning is complete without implementing and learning from it. Make projects with peers, or even complete assignments from online courses.

Python is a multi purpose, sometimes even utilitarian, programming language. What makes Python special is that it is not a complex programming language, which is the main reason for its popularity.

  1. It is a truly universal language that helps developers meet various needs of development that provides a lot of options to developers. 
  2. It is used by some of the biggest technology companies in the world, thus making it applicable to a number of popular applications across diverse fields. 
  3. It has a very active, healthy and supportive community: There are millions of developers working on the Python programming language. This active community of developers ensures proper help and support to its fellow developers.
  4. The compounding use of cloud solutions and big data has only propelled the growth and popularity of the Python programming language and the same is only expected to grow in the years to come.
  5. It is one of the most popular languages used in the field of Data Science, Machine Learning and Artificial Intelligence.
  6. Python is incredibly easy to write, code, understand and analyze.
  7. It has some of the most expensive libraries, documentation and built in functions that increase efficiency of coding and reduce the complexity of programs.
  8. It is a highly efficient and reliable programming language.
  9. Python is quite a versatile language, because of which developers can make it work across several domains including web development, mobile applications, hardware, desktop applications and more.

Below is the list of some of the best resources to learn the basics of Python:

  • Google's Python Class
  • Intro to Computer Science
  • Python Tutorials and Insights
  • Invent with Python

  • Google's Python Class: This is a free course best suited for those who are either new or have little have experience in any programming language but want to learn Python. Its course content ranges from Python’s basics such as strings and lists to detailed programs making use of HTTP connections, IO, and processes as well. 

  • Intro to Computer Science: If you have little to no experience in programming then this, approximately 3 months long, course gives you a jumpstart to your computer journey with Python. This course is also best suited as a starting point for those of you wanting to become data scientists as well. This course brings you up to speed to industry coding standards and tools used. It uses Python for all its exercises.

  • Python Tutorials and Insights: Website codementor.io offers here one of the top resources for learning Python for both, intermediate as well as experts by providing an online open community where developers around the globe offer their knowledge in form of blogs or articles. This course also introduces you to version control, integration of Python with other languages and Python’s decorators as well.

  • Invent with Python: This is a collection of 4 books with each book focusing on different aspect coding with Python. It also teaches you how to implement your own projects by giving you hands-on exercises as well. Anyone can get this collection as it is available on the internet for free.

S.No

Tutorial name

Type

Medium

Level

Cost

1.

Python 3 Tutorial

Exercise/Practise

Blog

Beginner

Free

2.

The Python Tutorial

Exercise/Practise

Blog

Beginner/Intermediate

Free

3.

Python Tutorial

Exercise/practise

Text and Illustration-based

Beginner

Free

4.

Python - Quick Guide

Examples-driven

Blog

Beginner

Free

5.

Python Tutorials for Beginners - Learn Python Online

YouTube course

Video

Beginner

Free

6.

Python for You and Me

eBook course

Book-based

Beginner

Free

7.

Learning to program with Python 3 (py 3.7)

YouTube course

Video

Beginner

Free

8.

Python 3 Basics Tutorial Series

YouTube course

Video

Beginner

Free

9.

Python for Beginners

YouTube course

Video

Beginner

Free

10.

PySide

YouTube course

Video

Beginner

Free

11.

A Complete Python 3 Tutorial

Assessment-based

Blog

Beginner

Free

12.

Practice Python

Exercise/Practise

Text-based

Beginner

Free

13.

Python course from 0

YouTube course

Video

Beginner

Free

14.

CheckiO: Practice Python Online

Exercise-based

Text-based

Beginner/Advanced

Free

15.

Python Programming: Beginner Course

Exercise-based

Text-based

Beginner/Intermediate/Advanced

Free

16.

Developing Scalable Apps in Python by Google

Online video course

Video

Advanced

Free

17.

Mining Twitter Data with Python

Practise

Blog

Advanced

Free

18.

Quantitative Economics with Python

Practise

Blog

Advanced

Free

19.

Python for NOT Beginners

YouTube course

Video

Intermediate/Advanced

Free

20.

Learn to think as a Programmer with Python

eBook

Book-based

Intermediate/Advanced

Free

21.

Python course for science and engineering

GitHub repository

Jupyter Notebook

Intermediate/Advanced

Free

22.

Intermediate Python

Exercise-based

Blog

Beginner/Intermediate/Advanced

Free

23.

The Python Bible™ | Everything You Need to Program in Python

Online certification course

Video

Beginner

$11 in US and INR 770 in India

24.

Python 101: Interactively learn how to program with Python 3

Interactive course

Text chapters

Beginner

$18 in US and INR 1285 in India

25.

Complete Python Bootcamp: Go from zero to hero in Python 3

Online certification course

Video

Beginner

$11 in US and INR 770 in India

26.

Automate the Boring Stuff with Python Programming

Online certification course

Video

Beginner

$11 in US and INR 770 in India

27.

Learn Python Programming Masterclass

Online certification course

Video

Beginner

$11 in US and INR 770 in India

28.

The Python Mega Course: Build 10 Real World Applications

Online certification course

Video

Beginner

$11 in US and INR 770 in India

29.

The Complete Python Masterclass: Learn Python From Scratch

Online certification course

Video

Beginner

$11 in US and INR 770 in India

30.

Python For Developers

Online certification course

Video

Beginner

$98 in US and INR 6999 in India

31.

Python Bootcamp: From beginner to professional, incl. Data Science

Online certification course

Video

Beginner

$11 in US and INR 770 in India

32.

Python for Beginners: The Complete Guide

Online certification course

Video

Beginner

$11 in US and INR 770 in India

33.

Code Like A Pro

eBook

Book

Beginner

$49.99 in US and INR 4294 in India

34.

Python 101: Interactively learn how to program with Python 3

eBook

Book

Beginner

$18 in US and INR 1289 in India

35.

Mastering Object-oriented Python

eBook

Book

Advanced

$4.18 in US and INR 299 in India

36.

Programming with Python

Online certification course

Video

Advanced

$199 in US and INR 14,244 in India

37.

Data Visualization in Python

Online certification course

Video

Advanced

Subscription plan-based

38.

Python Certification Training for Data Science

Online certification course

Video

Advanced

$308 in US and INR 21,995 in India

39.

Python Programming

Online certification course

Video

Advanced

$2295 in US and INR 1,64,000 in India

40.

Mastering Python

Online certification course

Video

Advanced

$4.18 in US and INR 299 in India

Be it something as simple as a college student hoping to create a program for college project or as big as a team of scientists working to analyze a huge collection of data, Python is everywhere. Python's growth has been astronomical and that’s why it has become essential in today’s world to learn Python. Thanks to its big global community, there are tons of tutorials available on the internet. We have put together a list of tutorials for the same.

  1. Python 3 Tutorial
  2. The Python Tutorial
  3.  Python Tutorial by w3schools
  4. Python - Quick Guide
  5. Python Tutorials for Beginners - Learn Python Online
  6. Python for You and Me
  7. Learning to program with Python 3 (py 3.7)
  8. Python 3 Basics Tutorial Series
  9. Python for Beginners
  10. PySide
  11. A Complete Python 3 Tutorial
  12. Practice Python
  13. Python course from 0
  14. CheckiO: Practice Python Online
  15. Python Programming: Beginner Course
  16. Developing Scalable Apps in Python by Google
  17. Mining Twitter Data with Python
  18. Quantitative Economics with Python
  19. Python for NOT Beginners
  20. Learn to think as a Programmer with Python
  21. Python course for science and engineering
  22. Intermediate Python
  23. The Python Bible™ | Everything You Need to Program in Python
  24. Python 101: Interactively learn how to program with Python 3
  25. Complete Python Bootcamp: Go from zero to hero in Python 3
  26. Automate the Boring Stuff with Python Programming
  27. Learn Python Programming Masterclass
  28. The Python Mega Course: Build 10 Real World Applications
  29. The Complete Python Masterclass: Learn Python From Scratch
  30. Python For Developers
  31. Python Bootcamp: From beginner to professional, incl. Data Science
  32. Python for Beginners: The Complete Guide
  33. Code Like A Pro
  34. Python 101: Interactively learn how to program with Python 3
  35. Mastering Object-oriented Python
  36. Programming with Python
  37. Data Visualization in Python
  38. Python Certification Training for Data Science
  39. Python Programming
  40. Mastering Python

If you are looking to use Python for your project and have no experience in it, below is the list of tips and topics which can help you learn Python fast.

  • Help in Python: If you want to know how an object works then use help() function.

  • Indentation: Instead of curly braces, Python uses indentation to define the scope of a code block.

  • Data types: Lists, dictionaries, and tuples are the data structures provided by Python. Variables can point to functions as well.

  • Flow control statements: Python has the usual flow control statements such as - if, for, while, and range(<number>).

  • Functions and classes: For function, Python has def keyword and for classes, it has class.

  • Exceptions: Python has exception handling feature handles by try-except.

  • I/O: Python has wide range built-in libraries to handle file handling.

  • Importing libraries: A Python program may include several external libraries which can be imported into main program by using:

import <library> or from <library> import <function> keyword.

Note: Above topics mentioned can be learned from online resources available for free as well.

Below are some of the important tips we have compiled for beginners:

  • While learning Python, make a habit of writing notes so you can always refer them back to polish your basics.

  • Use IDEs to code your Python programs as it helps to debug your code which is a great tool for learning.

  • Include like-minded peers in your social circle, go to meetups and other events where your knowledge for the same takes leaps.

  • Take small breaks while programming. Coding at a long stretch may thwart your creative thinking process.

  • Consistency is the key so whatever day it may be, just code. Code every day.

  • When stuck on a problem, don’t hesitate to search for the solution on Google or even StackOverflow. Internet usually provided expert guidance to our problem.

There are numerous books for beginners if you are looking to learn Python so it is essential that you choose the right book to start your Python career. Here are some of the best books to start with.

  • Python Programming: An Introduction to Computer Science
  • Murach's Python Programming
  • Learn Python in One Day

  • Python Programming: An Introduction to Computer Science: This book is designed for college students hoping to start their programming journey with Python. It introduces one to the concepts of computer science and this book uses Python extensively for it.
  • Murach's Python Programming: This book is best suited who are new to the programming world and want to jumpstart their programming career with Python. This book is divided into four sections for ease of learning.
    • Section 1: It introduces the basic concepts of computer science and programming world.
    • Section 2: It highlights the skills that every Python developer needs to inculcate and display.
    • Section 3: It introduces OOPs concepts and shows how to develop OOP programs.
    • Section 4: This section is basically implementation. Through the use of database and GUI, it offers guidance on how to make a program for the real world.
  • Learn Python in One Day: This is a short book recommended only if you are new to computer programming world and you’ve had bad luck with other books. This book teaches you the basic concepts of programming with Python quickly. It has examples that can be easily understood by beginners.

Python Certification

S.No

Program Name

Offered by

Cost

Level

Learning modes

Rating

1.

Programming with Python: Hands-On Introduction for Beginners

Udemy

Free

Beginner/Advanced

Video

4.3/5

2.

Programming for Everybody (Getting Started with Python)

edX

Free

Beginner

Video

-

3.

Introduction to Programming with Python

 

Microsoft Virtual academy

Free

Beginner

Video

5/5

4.

Programming Foundation with Python

Udacity

Free

Beginner

Video

-

5.

Learn Python 2

Code Academy

Free

Beginner

Exercise-based

-

6.

Introduction to Python

Stanford University

$129 in US and INR 9200 in India

Beginner

Video

-

7.

Introduction to Computer Science and Programming Using Python

edX

$75 in US and INR 5350 in India

Beginner

Videos

-

8.

Learning Python with PyCharm

Lynda

$25 in US and INR 1783 /month in India

Beginner

Video

-

9.

Data Camp

Datacamp

$ 25 in US and INR 1783 /month in India

Beginner

Video

-

10.

Python and Django Full Stack Web Developer Bootcamp

Udemy

$13 in US and INR 920 in India

Beginner

Video

-

11.

Google's Python Class

Google Developers

Free

Advanced

Video

-

12.

O’Reilly’s Python Programming

O’Reilly

Free

Advanced

Exercise-based

-

13.

OpenEDG Python Institute Certifications

Pearson Vue

$ 295 in US and INR 21047 in India

Advanced

Certification

-

14.

Machine Learning with Python Training

KnowledgeHut

$492 in US and INR ₹ 34,999 in India

Advanced

Certification

4.5/5

15.

The Python Mega Course: Build 10 Real World Applications

Udemy

$ 180 in US and INR 12,800 in India

Beginner/Advanced

Video

4.4/5

16.

Python for Finance: Investment Fundamentals & Data Analytics

Udemy

$ 180 in US and INR 12,800 in India

Advanced

Video lecture-based

4.5/5

17.

Complete Python Bootcamp: Go from zero to hero in Python 3

Udemy

$ 180 in US and INR 12,800 in India

Advanced

Video and exercise-based

4.5/5



The era of Java, C and C++ is long gone. Today, Programmers have found a new love in the form of Python. It has become the most popular programming language. The language is easy to learn. Its sophisticated syntax and powerful typing combined with Python’s integrated nature makes it an ideal language for scripting and rapid application development on most of the platforms.

Web development, Automation, Data Science, Machine learning etc. are just a few of several domains that use Python. The rise of data science and Machine language is rapid and yes, they both heavily rely on Python.

Over the past few years, the elementary aspect of Python has made it the go-to language in every corner of the Globe, especially for the lucrative jobs in Data Science and Machine Language in the developed countries like UK, USA, and Germany.

Below are the best Python Courses & Certifications available Online-

  1. Programming with Python: Hands-On Introduction for Beginners
  2. Programming for Everybody (Getting Started with Python)
  3. Introduction to Programming with Python
  4. Programming Foundation with Python
  5. Learn Python 2
  1. Programming with Python: Hands-On Introduction for Beginners
    • Introduction

      This certification program is specially designed for beginners who have been looking to obtain a hands-on learning experience with Python.

      This program promises to teach you concepts of programming right from the basics. So, if you’re a beginner and have never coded before but are looking for a way to start, this is the right destination for you.

    • Key features of the course
      • 3.5 hours of Video
      • 1 article
      • 50 downloadable resources
    • Python course duration: Short course with 35 lectures, 1 month needed at an idle pace of 5 hrs/week.

    • Level: Beginner

    • Instructor

      Febin George, a software engineer with a passion for teaching. He has more than 3 years of professional experience as a software developer with his primary expertise being Python programming.

    • Ratings: 4.3/5 with 5950 ratings.

    • Requirements for this course

      No previous knowledge required. Perfect course for those who want to begin their journey of becoming a rockstar Python programmer.

    • Benefits of Programming with Python –
      • Build a solid base by understanding the fundamentals of programming.
      • Master Python from the start by learning the basics.
      • Learn how to write independent programs in Python on your own.
      • Receive a certificate after completion of the course.
    • Review –

      “I thoroughly enjoyed the course, best parts: a short and crisp, in-depth explanation with real-world explanation and precise problems to solve with reviews at the end of each section. As a beginner in python, this course has helped me get an idea about the programming language. Looking forward to more of his courses. Definitely will recommend this course to a friend who is interested in learning python from scratch. Great job George!”

      The course is available here.

  2. Programming for Everybody (Getting Started with Python)
    • Introduction

      This course is offered by the University of Michigan.

      This course is designed to introduce the basics of programming to everyone using Python. Starting from the basics of how one constructs a program from a series of simple instructions in Python.

      With no prerequisites and basic mathematics, it’s the right course to begin your Python journey. This course covers Python 3.

    • Key features of the course: Can be upgraded to the Pro Version which includes a certificate.

    • Python course duration: 7 weeks with an idle pace of 2-4 hrs of study per week.

    • Level: Beginner

    • Instructor: Charles Severance, a Professor in the School of Information, The University of Michigan.

    • Eligibility Requirements: No previous knowledge required.

    • Benefits of Programming for Everybody –
      • Learn how to use variables in programs
      • Learn Conditional execution (if statements)
      • Learn Repeated execution / looping (for statements)
      • Learn Functions and code reuse

        The course is available here.

  3. Introduction to Programming with Python
    • Introduction

      This course is offered by Microsoft Virtual Academy.

      It is designed for learners who are excited to explore Programming through Python. The expert instructors will offer a step-by-step walk-through, from a basic idea to translate that idea into code, and everything in between.

      Using the advantages of Python, which has an easy learning curve, uses simple syntax, and is a very forgiving language, the instructors prepare you to be programmers once the course is done.

    • Key features of the course
      • 11 hours of Videos
      • 14 Modules
      • 14 assessment
    • Python course duration: 8 weeks with a study pace of 3-4 hours per week.

    • Level: Beginner

    • Instructors
      • Susan Ibach - Microsoft Canada Technical Evangelist;
      • Christopher Harrison -Microsoft Content Development Manager
    • Ratings: 5/5 with 804 ratings.

    • Eligibility Requirements: No previous knowledge required in Python.

    • Benefits of Introduction to Programming with Python –
      • Gain a basic understanding of Programming through Python.
      • Learn about the input statement, string variables, and manipulate strings.
      • Work on a project at the end of the course.

        The course is available here.

  4. Programming Foundation with Python
    • Introduction –

      Learn Programming through Object Oriented Programming. This technique will allow you to reuse and share code easily

      This program is designed to make sure that the learners have a fun time learning Programming with Python. There are mini projects which will help the learner understand as well as enjoy the curriculum.

    • Key features of the course
      • Interactive Quizzes
      • Self-Paced Learning
      • Student Support Community

    • Python course duration: 6 weeks with a study pace of 4-5 hrs per week.

    • Level: Beginner

    • Instructor: Kunal Chawla

    • Eligibility Requirements: A little basic knowledge of C language is preferred. However, it’s not mandatory.

    • Benefits of Programming Foundation with Python
      • Start coding in the programming language Python
      • Reuse and share code with Object-Oriented Programming
      • Create and share amazing, life-hacking projects.

        The course is available here.

  5. Learn Python 2
    • Introduction

      Python is the world’s fastest growing and perhaps, the most popular programming language. This course helps you understand the basics of the most popular language. This language is used by software engineers, analysts, data scientists, and machine learning engineers alike.

    • Key features of the course: More than 4,318,497 learners have taken this course.

    • Python course duration: 6 weeks with 4-5 hours of study per week.

    • Level: Beginner

    • Instructor: A group of expert tutors in the field from CodeAcademy.

    • Eligibility Requirements: No prerequisite.

    • Benefits of Learn Python 2
      • Get an understanding of the most popular language.
      • Along with Python, this course also teaches you the fundamentals of Programming.
      • By the end of the course, you will be able to create your own program using Python.
    • Review –

      “I know from first-hand experience that you can go in knowing zero, nothing, and just get a grasp on everything as you go and start building right away.”

      The course is available here.
  1. Google's Python Class
  2. O’Reilly’s Python Programming
  1. Google's Python Class
    • Introduction

      This course is offered by Google. It’s a free course for those having a little bit of experience with programming.

    • Key features of the course
      • The class includes written materials
      • Lecture videos
      • Code exercises to practice Python coding
    • Python course duration: 6 weeks with 2-3 hours of study per week.

    • Level: Advanced

    • Instructor: Nick Parlante, works in the engEDU group at Google.

    • Eligibility Requirements

      Coding and basic programming knowledge required. For example, if you know what a "variable" or "if statement" is, that’s enough requirement to join this course.

    • Benefits of Google's Python Class
      • Build a solid base by understanding the fundamentals of programming.
      • Code web applications.
      • You will learn Python concepts like-
        • strings and lists
        • building up to the later exercises which are full programs
        • dealing with text files,
        • processes, and HTTP connections.
      • Receive a certificate after completion of the course.

        The course is available here.

  2. O’Reilly’s Python Programming
    • Introduction

      This course is offered by the famous programming publication of O'Reilly's. It covers everything you need to know to build a website using Python. This certification program comprises of 4 courses which are designed to turn a complete beginner into an expert.

      IDE (Integrated Development Environment) used are CodeRunner and Eclipse-based Ellipse learning) and only require you to be online and able to use a browser.

    • Key features of the course
      • CodeRunner
      • Eclipse-based Ellipse learning
      • Test Driven Development
    • Python course duration: 12 weeks with 5 hours of study per week.

    • Level: Advanced

    • Instructor

      Jose Portilla, Data Scientist. Jose has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming.

    • Eligibility Requirements: No previous knowledge required.

    • Benefits of O’Reilly’s
      • Build a solid base by understanding the fundamentals of programming.
      • Learn how to -
        • Create Python scripts that use expressions, variables, conditionals, loops, lists, sets, dicts, functions, objects and exceptions.
        • Develop Python applications that utilize file handling, pickling and archiving (zip and tar).
        • Utilize Python to interact with SQL databases. Implement email objects.
        • Utilize profiling to describe the run-time performance of their programs and learn how to optimize your code.
        • Create/Develop generators and decorators.
        • Utilize introspection, multi-threading, and multi-processing techniques.
      • Receive a certificate after completion of the course.

        The course is available here.

No, Python is one of the easiest programming languages.

  • Python has a vast inbuilt Python library and built in functions that make the development of a program more efficient and easy as well as less complex.
  • Python places a lot of effort on readability. What this means, essentially, is that Python syntax is more like writing in English, which makes it easier to learn and understand for the developer.
  1. Introduction to Python
  2. Introduction to Computer Science and Programming Using Python 
  3. Learning Python with PyCharm
  4. Data Camp
  5. Python and Django Full Stack Web Developer Bootcamp
  1. Introduction to Python
    • Introduction

      This program is offered by Stanford University.

      This program covers how to use Python to transform and analyze large datasets. It includes a comprehensive introduction to the most popular programming language with a focus on its application in data science.

      This program will help you understand the fundamentals such as the basic syntax, programming and commonly used packages for data manipulation.

    • Key features of the course
      • Lecture videos
      • Lecture companion notebooks that enable you to practice in real-time as you watch videos
      • Interactive exercise notebooks for ungraded, self-paced practice
    • Python course duration: 6 weeks with 2-4 hours per week.

    • Level: Beginner

    • Instructor: Nick Henderson Affiliate, Stanford Institute for Computational and Mathematical Engineering (ICME)

    • Eligibility Requirements: Basic knowledge of computers and productivity software.

    • Benefits of Introduction to Python
      • Build a solid base by understanding the fundamentals of programming.
      • You will learn about –
        • Basic Syntax:
        • Variables and Data Types Functions File Input and Output Packages
        • Numpy, Scipy, Pandas, and Matplotlib
        • Jupyter Notebook
      • Receive a certificate after completion of the course.
    • Cost: $ 129 in US and INR 9200 in India

      The course is available here.

  2. Introduction to Computer Science and Programming Using Python
    • Introduction –

      This course is offered by the Massachusetts Institute of Technology (MIT).

      This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Together, they are designed to teach learners with no previous knowledge to think computationally and write programs with the help of Python.

      This course is specially designed for beginners who have been looking to obtain a hands-on learning experience with Python.

      This course helps you understand the concepts of programming right from the basics. So, if you’re a beginner and have never coded before but are looking for a way to start, this course is for you.

    • Key features of the course
      • Lecture videos
      • Lecture exercises
      • Problem sets using Python 3.5
    • Python course duration: 9 weeks with 14-16 hours per week

    • Level: Beginner

    • Instructor
      The MIT Trio will be taking these classes –
      • Dugald C. Jackson, Professor of Computer Science and Electrical Engineering MIT
      • Eric Grimson, Professor of Medical Engineering, Professor of Computer Science MIT
      • Ana Bell, Lecturer, Computer Science and Electrical Engineering MIT
    • Eligibility Requirements

      No previous knowledge required. Perfect course for those who want to begin their programming journey in Python.

    • Benefits of the MIT course
      • A brief introduction to many topics such as,
        • A Notion of computation
        • The Python programming language
        • Some simple algorithms
        • Testing and debugging
        • An informal introduction to algorithmic complexity
        • Data structures
      • You will learn about the programming application and how to use Computation.
      • Receive a certificate after the completion of the course from the prestigious MIT.
    • Cost of the MIT course: $ 75 in US and INR 5350 in India

      The course is available here.

  3. Learning Python with PyCharm
    • Introduction

      This course uses IDE or Integrated development environment platform to teach Python programming with PyCharm.

      This allows the trainer to give you a personalized time table exclusively made for you. With his step by step guidance, time-table and PyCharm's first-rate text editing tools, Learning Python not only becomes easy but fun too.

    • Key features of the course
      • PyCharm as the platform is one of the most popular IDEs for the language.
      • 1 month free trial helps you to find out whether you’re suitable for the course or not before investing your money.
    • Python course duration: 2 months with 2-3 hrs of study per week.

    • Level: Beginner

    • Instructor: Bruce Van Horn.

    • Eligibility Requirements: No previous knowledge required. Perfect for those who want to begin their Python programming journey.

    • Benefits of PyCharm Course
      • You will learn how to -
        • Install the PyCharm, Git, and Pypy packages
        • Add functions
        • Refactor code
        • Call packages
        • Debug code
        • Create databases
        • Work with in-line SQL
        • Create web projects with PyCharm
      • And finally, learn how to integrate Python with web projects that include HTML and JavaScript, and create a project with the Flask microframework.
      • Receive a certificate after completion of the course.
    • Cost of the PyCharm Course: 1-month free trial then, INR $ 25 in US and INR 1783 per month in India.

      The course is available here.

  4. Data Camp
    • Introduction

      This course teaches programming through training. It is an online portal full of new and regularly updated courses mostly focused on data science with Python.

    • Key features of the course
      • 9 free beginner courses to let you understand what the program is about and if it suits you.
      • Statistical libraries such as Pandas and NumPy.
    • Python course duration: 6 weeks with 4-6 hrs per week.

    • Level: Beginner

    • Instructor: A group of expert tutors from Data Camp.

    • Eligibility Requirements: No previous knowledge required.

    • Benefits of Data Camp
      • Master Python from scratch by learning the basics.
      • This course combines short expert videos with immediate hands-on-the-keyboard exercises.
      • Practice with instant and personalized feedback on every exercise.
      • Developed DataCamp Projects based on real-world problems.
      • Receive a certificate after completion of the course.
    • Review –

      “I think it is obvious that DataCamp is the best platform for those seeking to learn data science.”

    • Cost of DataCamp: Nine beginner courses free, then $25 in US and INR 1783 per month in India

      The course is available here.

  5. Python and Django Full Stack Web Developer Bootcamp
    • Introduction

      This course covers everything you need to know to build a website using Python, Django, and many more web technologies. Whether one wishes to change career paths, expand his current skill set, start his own entrepreneurial business, become a consultant, or just wants to learn, this is the course for them.

      Learn the latest technologies for building great web applications with Python 3 and Django.

    • Key features of the course
      • 32 hours on-demand video
      • 6 articles
      • 7 downloadable resources
    • Python course duration: 8 weeks with 5 hours of study per week.

    • Level: Beginner

    • Instructor

      Jose Portilla, Data Scientist. Jose has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming.

    • Ratings: 4.5/5 with 15,581 ratings.

    • Eligibility Requirements: No previous knowledge required.

    • Benefits of Python and Django
      • Build a solid base by understanding the fundamentals of programming.
      • Code web applications.
      • Implement a full Models-Views-Templates structure for your site.
      • Use Django as a back end for the websites.
      • Learn how to use Bootstrap
      • Receive a certificate after completion of the course.
    • Review –

      “Going through the official Django documentation, I had difficulty seeing the forest for the trees. This course gave me a guided tour through the forest & an excellent foundation that will be invaluable in my subsequent Django endeavors.”

    • Cost of Python and Django: $ 13 in US and INR 920 in India

      The course is available here.
  1. OpenEDG Python Institute Certifications
  2. Machine Learning with Python Training
  3. The Python Mega Course: Build 10 Real World Applications
  4. Python for Finance: Investment Fundamentals & Data Analytics
  5. Complete Python Bootcamp: Go from zero to hero in Python 3
  1. OpenEDG Python Institute Certifications

    • Introduction

      This course is designed by the Python Institute. It is an independent non-profit project set up by the Open Education and Development Group (OpenEDG) to promote the Python programming language, train a new generation of Python programmers, and support professional careers in the Python language, and in related technologies.

      The Python Institute is working towards a goal which will allow programming specialists, software developers, and IT professionals from all over the world to assess and document their programming skills respectively, and to gain recognition for their expertise.

      This course is Test driven, comprises of 2 exams PCAP and PCPP. In order to attend PCPP, students must qualify for the PCAP.

    • Key features of the course
      • There are two types of courses offered.
      • PCAP – Certified Associate in Python Programming
      • PCPP – Certified Professional in Python Programming
      • You can schedule your own exam.
      • Number of Questions – 40
      •  Format - Single-choice/Multiple-choice
        • Passing Score
        • for PCAP - 70%
    • Python course duration: The time limit of both the exams are 65 mins + 10 mins.

    • Level: Advanced

    • Eligibility Requirements: Since this is Test driven, a good amount of skills and knowledge is required.

    • Benefits of OpenEDG Python
      • While preparing for the exams, you can choose to prepare with any Python Institute courses aligned with the PCAP and PCPP certifications. They are available through the Cisco Networking Academy program or the OpenEDG Education Platform.
      • After finishing their courses, you will receive a discount voucher which can be used in the exam fee.
      • You will learn to -
        • Build a solid base by understanding the fundamentals of programming.
        • Master Python from scratch by learning the basics.
        • Learn how to write independent programs in Python on your own.
      • Receive a certificate after completion of the course.
    • Cost of OpenEDG: $ 295 in US and INR 21047 in India.

      The course is available here.

  2. Machine Learning with Python Training

    • Introduction

      The possibilities of machine learning are endless. This course is for those who want to learn machine learning with Python. It is offered by KnowledgeHut. Since Machine learning itself is complex, the use of an integrated programming language makes it easier for the learner to comprehend the subject.

    • Features
      • 50 hours of Instructor-led Training
      • Comprehensive Hands-on with Python
      • Covers Unsupervised learning algorithms such as K-means clustering techniques
      • Get introduced to deep learning techniques
    • Duration: 9 weeks with 6-7 hrs per week.

    • Level: Advanced

    • Mentor: A group of expert tutors from KnowledgeHut.

    • Ratings: 4.5/5

    • Requirements
      • Familiarity with statistics
      • Elementary programming knowledge
    • Benefits of Knowledge Hut’s Python –
      • Statistical - Understand the behavior of data as you build significant models
      • Python for Machine Learning - Learn about the various libraries offered by Python to manipulate, preprocess and visualize data 
      • Fundamentals of Machine Learning - Learn about Supervised and Unsupervised Machine Learning.
      • Optimization Techniques - Learn to use optimization techniques to find the minimum error in your machine learning model.
      • Machine Learning Algorithms - Learn various machine learning algorithms like KNN, Decision Trees, SVM, Clustering in details.
      • Dimensionality Reduction - Learn the technique to reduce the number of variables using Feature Selection and Feature Extraction 
      • Neural Networks - Understand Neural Network and apply them to classify image and perform sentiment analysis.
      • Ensemble Learning - Learn to use multiple learning algorithms to obtain better predictive performance.
      • Receive a certificate after completion of the course.
    • Review –

      “The Training was awesome and great. The trainer Anderson made all the concepts look so easy and simple. Using his past experience as examples to explain various scenarios was a plus. Moreover, it was an active session with a lot of participant involvement which not only made it interactive but interesting as well. Would definitely recommend this Training.”

    • Cost of Knowledge Hut’s Python: $492 in US and INR 34,999 in India

  3. The Python Mega Course: Build 10 Real World Applications

    • Introduction

      This course is specially designed for learners who want to start with Python and aim to achieve the expert level.

      It is one of the top online Python courses with over 100,000 enrolled students and is targeted toward people with little or no previous programming experience.

      This massive popularity of the course is because of its approach - learn by doing. You will start from scratch and master Python by building 10 real-world applications in Python 3, guided and supported by the course instructor, who will take you step by step through the journey of exploring Python. The course has 24 sections containing videos, code examples, quizzes, exercises, projects, and other bonus materials

    • Key features of the course
      • 241 lectures.
      • 23.5 hours on-demand video
      • 72 articles
      • 50 downloadable resources
      • 20 coding exercises
    • Python course duration: 4 months with 7-8 hours of study per week.

    • Level: Beginner to Advanced

    • Instructor: Ardit Sulce, he is a Python and GIS Expert and the Founder of PythonHow.com

    • Ratings: 4.4/5 with 22,929 rating.

    • Eligibility Requirements: No previous knowledge required.

    • Benefits of Mega Course
      • Create 10 real-world Python programs
      • Solidify your skills with bonus practice activities throughout the course
      • Make an app that translates English words 
      • Create a web-mapping app 
      • Build a portfolio website 
      • Create a desktop app for storing book information 
      • Build a webcam video app that detects objects 
      • Create a web scraper 
      • Build a data visualization app 
      • Create a database app 
      • Build a geocoding web app 
      • Create a website blocker
      • Send automated emails 
      • Analyze and visualize data 
      • Use Python to schedule programs based on computer events. 
      • Learn OOP (Object-Oriented Programming) 
      • Learn GUIs (Graphical-User Interfaces)
      • Receive a certificate after completion of the course.
    • Review

      “The course content was explained thoroughly, and the projects were interesting! Some suggestions are that maybe you should mention the version of Python that you are currently using, so students are able to download that particular version. For example, at the time of this review (Sept 19, 2017) py2exe does not work too well with Python 3.6, yet it works well for Python 3.3 - Python 3.5. Overall though, great course!!”

    • Cost of Mega Course: $ 180 in US and INR 12,800 in India

      The course is available here.

  4. Python for Finance: Investment Fundamentals & Data Analytics
        
    • Introduction

      This course includes the basics of Python as well as the basics of Finance. So, even if you’re a beginner with no previous knowledge of Python, this course will teach you everything from A-Z.

    • Key features of the course
      • 7 hours on-demand video
      • 111 lectures
      • 1 article 
      • 41 downloadable resources
      • All software and data used in the course are free.
    • Python course duration: 7 weeks with 3-4 hours per week.

    • Level: Advanced

    • Instructor: A team of experts from 365 Careers

    • Ratings: 4.5/5 with 4,755 rating.

    • Eligibility Requirements

      The system needs to have Anaconda installed. Don’t worry if you don’t know how to do it, the first video will cover that aspect.

    • Benefits of Python for Finance
      • Learn how to code in Python
      • Work with Python’s conditional statements, functions, sequences, and loops
      • Work with scientific packages, like NumPy 
      • Understand how to use the data analysis toolkit, Pandas Plot graphs with Matplotlib 
      • Use Python to solve real-world tasks
      • Acquire solid financial acumen 
      • Carry out in-depth investment analysis 
      • Build investment portfolios 
      • Calculate the risk and return of individual securities 
      • Calculate risk and return of investment portfolios 
      • Apply best practices when working with financial data 
      • Use univariate and multivariate regression analysis 
      • Understand the Capital Asset Pricing Model 
      • Compare securities in terms of their Sharpe ratio Perform Monte Carlo simulations 
      • Learn how to price options by applying the Black Scholes formula 
      • Be comfortable applying for a developer job in a financial institution
    • Review –

      “Excellent course! I have a BA in Finance and want to learn Python so I took this course. I say that to say this, the course is well presented and the finance theory is not overwhelming as it would be in a regular university. Still well worth the time!”

    • Cost of Python for Finance – $ 180 in US and INR 12,800 in India

      The course is available here.

  5. Complete Python Bootcamp: Go from zero to hero in Python 3

    • Introduction

      This is the most comprehensive and yet integrated course on Udemy. From the beginners to the expert Python Programmers, this course is for everyone.

    • Key features of the course
      • 24 hours on-demand video
      • 19 articles
      • 19 coding exercises 
      • 186 lectures
    • Python course duration: 8 weeks with 6-7 hrs per week.

    • Level: Advanced

    • Instructor: Jose Portilla, a Data Scientist.

    • Ratings: 4.5/5 with 129,469 ratings.

    • Eligibility Requirements: No previous knowledge required.

    • Benefits of Python Bootcamp
      • Learn to use Python professionally, learning both Python 2 and Python 3!
      • Create games with Python, like Tic Tac Toe and Blackjack! 
      • Learn advanced Python features, like the collections module and how to work with timestamps! 
      • Learn to use Object Oriented Programming with classes! 
      • Understand complex topics, like decorators. 
      • Understand how to use both the Jupyter Notebook and create .py files
      • Get an understanding of how to create GUIs in the Jupyter Notebook system! 
      • Build a complete understanding of Python from the ground up!
      • Receive a certificate after completion of the course.
    • Review

      “I would like to mention this course as Life changing one. I took this course, just to have an idea about Python, but with Jose Portilla's teaching style, I was able to engage myself in this course a lot. I was able to grasp all the concepts and I had a good practice with repeated exercises and challenging problems. After completing this course, I even enrolled in two other courses from Jose Portilla. I dream to become a data scientist in future following Josh's footsteps”

    • Cost of Python Bootcamp: $ 180 in US and INR 12,800 in India.

      The course is available here.

Yes, by popular vote, Python is one of the easiest languages to learn for beginners. Some of the reasons that make it easy for beginners to learn Python include the following:

  • It is an efficient programming language with data structures that offer a simple and effective approach to coding.

  • It is based on the object oriented programming approach that once understood, will also help a beginner build a base for other programming languages as well.

  • It contains a massive in-built library and functions that 
    • Save time
    • Increase efficiency
    • Decrease complexity of programming
  • It has an elegant syntax that is almost like the English language, thus making programmes easier to learn and build.

  • Python has a gradual learning curve, as opposed to other programming languages where the learning curve can be quite steep.

  • It has wealth and abundance of documentation, making it easier for a beginner to get help if he/she is stuck somewhere while coding.

  • The Python community of developers is a very vast and helpful community. In case a beginner is stuck at a problem and posts the same on an online forum of Python developers, either of the following may happen-
    • Since its a very large community of developers working with the same programming language, chances are that someone else was stuck on a similar problem and the same was resolved so the solution to the problem is already available.
    • In case the solution is not already available, the Python community chips in and the programmer is able to get a solution to his/her problem very quickly, thus boosting the process of learning as well.
  1. Python 3 Tutorial

    This tutorial is offered by Programiz who cater to the needs of 2.5 million learners around the globe through informative tutorials for various programming languages. This course aims at teaching Python efficiently and quickly and is best suited for beginners who want to jumpstart their Python journey.
    • Topics covered in Python Tutorial:
      • Python flow control
      • Functions
      • Datatypes
      • Files I/O
      • Classes and objects
      • Iterators, generators, and Regular Expressions
    • Type: Free exercise/practice course.
    • Version: Python 3
    • Medium: Blog
    • Level: Beginner
    • Features: Self-paced and examples-driven course
    • Requirements: The course has no specific prerequisites
    • The language of communication: English

  2. The Python Tutorial

    The tutorial, offered by the Python’s official website itself, aims at introducing you to the basic concepts and features of Python as a programming language. It is recommended that you have Python installed on your machine to try hands-on exercises given in the course for better practical knowledge.
    • Topics covered in Python Tutorial
      • How to use Python interpreter
      • Datatypes
      • Introduction to control flow tools
      • Data structures
      • Modules
      • File I/O
      • Error and exception handling
      • Virtual environments and packages
    • Type: Free exercise/practice course
    • Version: Python 3.7.2
    • Medium: Blog
    • Level: Beginner/Intermediate
    • Features: Self-paced and examples-driven course
    • Requirements: The course has no specific prerequisites
    • The language of communication: English

  3. Python Tutorial

    This tutorial by w3schools, a web developer site which has over 50 million monthly visits and provides references and tutorials to other web development languages other than Python as well, starts from the basic level to professional. The tutorial provides simple code explanations and illustrations.
    • Topics covered in Python Tutorial
      • Syntax
      • Variables
      • Data structures
      • Conditional statements and control flow
      • Functions, classes, and objects
      • Iterators, generators, and decorators
      • File I/O
      • Error and exception handling
      • MySQL and MongoDB with Python
    • Type: Free exercise/practice program
    • Version: Python 3.x
    • Medium: Text and illustration based
    • Level: Beginner
    • Features: Self-paced and illustrations/examples-driven course 
    • Requirements: The course has no specific prerequisites
    • The language of communication: English

  4. Python - Quick Guide

    A course by pythonforbeginners is perfect to help you get started with Python programming. There are various topics covered in the tutorial and can be learned easily. It teaches basics of Python and includes exercises and examples.
    • Topics covered in Python Tutorial:
      • Overview and installation of Python
      • Variables
      • Interpreter
      • File I/O and Modules
      • Error and Exception Handling
      • Data structures - Lists, tuples, and dictionaries
      • Conditional statements
      • Loops, generators, and decorators
      • Style and language rules of Python
    • Type: Free examples-driven course
    • Version: Python 2.7
    • Medium: Text-based blog
    • Level: Beginner
    • Features: Self-paced and step-by-step guidance provided
    • Requirements: The course has no specific prerequisites
    • The language of communication: English

  5. Python Tutorials for Beginners - Learn Python Online

    This is a video tutorial that describes the basics of Python programming language as well as the current industry salaries a Python professional might expect. This is a crash course with quizzes and exercises in between for testing purposes and not a full-fledged course.
    • Topics covered in Python Tutorial:
      • Setting up Python
      • Running the first program on a code editor
      • Extensions
      • Variables
      • Data types
      • Conditional statements and control flow
      • Data structures
      • Looping, debugging
      • VSCode coding tricks
    • Type: Free video course
    • Version: Python 3.7.0
    • Medium: Video
    • Level: Beginner
    • Features: 2 hours and 25 minutes long, over 300,000 views
    • Requirements: The course has no specific prerequisites
    • The language of communication: English

  6. Python for You and Me:

    This tutorial is for absolute beginners who want to learn Python as their first language of programming. The site also offers insight on using Linux OS if you are new to it.
    • Topics covered in Python Tutorial:
      • Installation on windows as well as Linux
      • Understanding Python interpreter and modules
      • Working with mu editor
      • Variables and datatypes
      • Expressions
      • Control flow
      • Looping
      • Data structures
      • Functions and classes
      • File I/O
      • Exception handling
      • VS code
      • Virtual Environments
      • Structuring your project and testing it.
      • Introduction to frameworks such as - Flask, click
    • Type: Free book course
    • Version: Both Python 2 as well as Python 3
    • Medium: Book based
    • Level: Beginner
    • Features: Self-paced and examples-driven course
    • Requirements: The course has no specific prerequisites
    • The language of communication: English

  7. Learning to program with Python 3 (py 3.7)

    A youtube tutorial which aims to teach Python 3 through a project-based approach. The course, which is a collection of videos, was created in late 2018 and covers all the latest trends in the Python world.
    • Topics covered in Python Tutorial:
      • Tuples, String, Lists, and looping
      • Tic tac toe game
      • Using built-in functions
      • Functions - Parameters and typing
      • Mutability
      • Error handling
    • Type: Free 15-video course
    • Version: Python 3.7
    • Medium: Video based
    • Level: Beginner
    • Features: Approximately 4 hour long course divided into 15 videos, 167,000 views garnered
    • Requirements: The course has no specific prerequisites
    • The language of communication: English

  8. Python 3 Basics Tutorial Series

    This is a Youtube video playlist as well which offers numerous topics in the domain of Python 3. The author has over 600,000 subscribers on Youtube, proving the success and credibility of this course.
    • Topics covered in Python Tutorial:
      • Installing Python
      • Variables
      • Looping and conditional statements
      • Functions and classes
      • File I/O and Modules
      • Error and exception handling
      • Data structures - List, tuples, and dictionaries
      • Regular expressions
      • GUI libraries - Tkinter, matplotlib
      • Processes
      • Socket programming
      • Using database with Python 3
    • Type: Free 68-video course
    • Version: Python 3
    • Medium: Video-based (YouTube)
    • Level: Beginner
    • Features: 9 hour course divided into 68 videos, over 3.5 million views
    • Requirements: The course has no specific prerequisites
    • The language of communication: English

  9. Python for Beginners

    As the title suggests, this is a Youtube video playlist aimed at turning newbies into Python developers. This is a course created by ADV-IT - a Russian YouTuber.
    • Topics covered in Python Tutorial:
      • Installation and first program
      • Variables
      • Data structures
      • File I/O and Modules
      • Functions and classes
      • Arguments and Regular expression
      • Python game project
      • Error handling
      • Django framework
    • Type: Free 36-video course
    • Version: Python 3
    • Medium: Video-based (YouTube)
    • Level: Beginner
    • Features: Over 8 hours course divided into 36 videos, over 300,000 views
    • Requirements: The course has no specific prerequisites
    • The language of communication: Russian

  10. PySide

    This is basically a GUI centric course that teaches you to make multiple applications using PySide Python GUI library.
    • Topics covered in Python Tutorial:
      • Creating and customizing GUI window
      • GUI textbox
      • GUI calendar widgets
      • GUI scroll bar, radio button, progress bar, message box
      • Create Notepad using PySide
      • OpenGL graphics
      • PDF viewer
    • Type: Free 28-video course
    • Version: PySide 1.2.4
    • Medium: Video-based (YouTube)
    • Level: Beginner
    • Features: 1.5 hours course divided into 28 videos, around 21,000 views
    • Requirements: Basics of Python and installed version on your machine
    • The language of communication: English

  11. A Complete Python 3 Tutorial

    This course is designed specifically for beginners who are new to the programming world. It also includes an exam to test your knowledge.
    • Topics covered in Python Tutorial:
      • Introduction and getting started
      • Control flow statements
      • Functions and lambda expressions
      • Data structures
      • Importing and exporting of Modules/Packages and File I/O
      • OOPs concepts
      • Exception Handling
      • Exam
    • Type: Free blog and assessment based course
    • Version: Python 3
    • Medium: Blog
    • Level: Beginner
    • Features: Self-paced, contains assessment to test your knowledge at the end of course
    • Requirements: The course has no specific prerequisites
    • The language of communication: English

  12. Practice Python

    The site is created with the sole purpose to teach Python to newbies who have little to no experience in programming. It contains over 30 beginner exercises, each with a discussion on how to optimize the solution. This is an exercise-based tutorial.
    • Type: Free exercise/practice based tutorial
    • Version: Python 2/Python 3
    • Medium: Text-based
    • Level: Beginner
    • Features: Self-paced, over 30 beginner assessments
    • Requirements: Basics of Python
    • The language of communication: English

  13. Python course from 0

    As the name of this tutorial suggests, this course is designed for beginners. This is a YouTube playlist and is updated on a regular basis.
    • Topics covered in Python Tutorial
      • Basic syntax
      • Conditional statement
      • Looping
      • Generators, decorators, and RegEx
      • Exception handling
      • Modules
      • Interfaces
      • Practical guide
    • Type: Free video-based
    • Version: Python 3
    • Medium: Video-based
    • Level: Beginner
    • Features: Over 20 hours of 79 videos, over 2 million views
    • Requirements: The course has no specific prerequisites
    • The language of communication: Spanish

  14. CheckiO: Practice Python Online

    A game-themed website course aiming to teach Python to beginners and experts alike through various challenges and competitions.
    • Type: Free exercise-based
    • Version: Python 2/Python 3
    • Medium: Text-based (Game and challenges)
    • Level: Beginner/Advanced
    • Features: Self-paced, over 200 exercises with solutions provided
    • Requirements: Basics of Python
    • The language of communication: English

  15. Python Programming: Beginner Course

    Dataquest designed this course keeping in mind the growing demand of data scientists in the market and the preferred language of choice for them being Python.
    • Topics covered in Python Tutorial:
      • Fundamentals of programming in Python
      • Fundamentals of Data science
      • Using Jupyter
      • Building a project
    • Type: Free exercise-based
    • Version: Python 2/ Python 3
    • Medium: Text-based (challenges)
    • Level: Beginner/Intermediate/Experts
    • Features: Self-paced; numerous challenges to be solved
    • Requirements: The course has no specific prerequisites
    • The language of communication: English
  1. Developing Scalable Apps in Python by Google

    This course is developed by Google specifically for experts who want to further their Python skills and are hoping to gain industry-level knowledge in the scaling of apps.
    • Type: Free online course based
    • Version: Python 3
    • Medium: Video-based with additional text material
    • Level: Advanced
    • Features: Approx. 6-week course
    • Requirements: Maven, eclipse, strong knowledge of Python, and web development for at least 1 year
    • The language of communication: English

  2. Mining Twitter Data with Python

    Twitter is popularly used for data mining as it helps understand real-life scenarios better than predefined data set. This is the idea behind this course, to help you ease into real-life problems and find a solution using data mining with Python.
    • Topics covered in Python Tutorial:
      • Collecting and preprocessing data
      • Map frequencies
      • Basics of data visualization
      • Sentimental analysis
      • Interactive maps and Geolocation
    • Type: Free text-based
    • Version: Python 3
    • Medium: Blog-based
    • Level: Advanced
    • Features: Self-paced with a step-by-step guide
    • Requirements: Strong knowledge of Python and its libraries, how to work with APIs
    • The language of communication: English

  3. Quantitative Economics with Python

    Written by Thomas J. Sargent and John Stachurski, this is a Python series of lectures on quantitative economic modeling. This course teaches all the essential algorithms used in the market currently and the underlying mathematics.
    • Topics covered in Python Tutorial:
      • Python libraries
      • OOPs concepts and debugging
      • Dealing with data and empirics
      • Finite Markov chains along with other suitable tools and techniques
      • Dynamic programming
      • Multiple agent models
      • Time series models
    • Type: Free text-based
    • Version: Latest releases of Python, Anaconda and Jupyter Notebooks
    • Medium: Blog-based
    • Level: Advanced
    • Features: Self-paced with the mathematics behind each step explained
    • Requirements: Good mathematical, programming, and economic background and good command over Python and its libraries
    • The language of communication: English

  4. Python for NOT Beginners

    This is basically a collection of 5 videos made to teach various useful algorithms and techniques to experts which would help them get better command and control over their work.
    • Topics covered in Python Tutorial:
      • Recursion, factorial
      • Binary search
      • Bubble sort
      • Script to clean log files
      • Script to clean empty directories
    • Type: Free video-based (YouTube)
    • Version: Python 3
    • Medium: Video-based
    • Level: Intermediate/Advanced
    • Features: Over 2 hours of content split over 5 videos, over 14,000 views
    • Requirements: Good knowledge of Python and its modules
    • The language of communication: Russian

  5. Learn to think as a Programmer with Python

    This is an ebook created to provide full knowledge of Python and its underlying principles. Due to the depth of knowledge in this book, it is generally not recommended for beginners but for intermediates/experts.
    • Topics covered in Python Tutorial:
      • Variables and expressions
      • Functions
      • Conditional statements and recursions
      • Data structure - List, tuple, and dictionary
      • File I/O and exception handling
      • Classes and Objects
      • Stacks, Linked lists, Trees etc.
      • Debugging
    • Type: Free chapter-based tutorial (book)
    • Version: Python 2/Python 3
    • Medium: Book-based
    • Level: Intermediate/Expert
    • Features: Self-paced learning, 312-page book
    • Requirements: Strong knowledge of Python
    • The language of communication: Spanish

  6. Python course for science and engineering

    This is a course hosted on GitHub which is for students already familiar with Python and are exploring its applications in science and engineering field. Jupyter notebooks are used for teaching and illustration.
    • Topics covered in Python Tutorial:
      • Introduction and polishing of Python concepts
      • Functions, generators, and Exception handling
      • How to structure a project and use of Python libraries
      • Vectorization of functions
    • Type: Free chapter-based repository
    • Version: Python 2/ Python 3
    • Medium: Text-based (Jupyter notebook)
    • Level: Intermediate/Expert
    • Features: Self-paced, spread over 8 classes. 65 times starred project
    • Requirements: Strong theoretical and practical knowledge of Python programming language
    • The language of communication: Spanish

  7. Intermediate Python

    It is a work in progress and is recommended to all- be it beginner, intermediates, or even experts.
    • Topics covered in Python Tutorial:
      • Debugging
      • Generators and decorators
      • Data structures and collections
      • Map, Filter, and Reduce
      • Mutations
      • Virtual environment
      • Functions, classes, and objects
      • Exceptions
      • Loops
      • C Extensions
      • Coroutines
    • Type: Free text-based
    • Version: Python 2/ Python 3
    • Medium: Blog-based
    • Level: Beginner/Intermediate/Expert
    • Features: Self-paced, 26 topics and counting
    • Requirements: Little to no knowledge of Python
    • The language of communication: English

If you are a programmer then you would already be knowing basics of programming languages, logics of programs etc. so you would mainly need to concentrate on the syntax part which takes, in Python’s case, approximately 1 month. If you are a newbie, then it would take around 3 months if you spend not more than 4 hours/day.

However, if you are starting to learn Python then you must see our list below containing important topics which may take the most time.

  • Using ‘os’, ‘sys’, ‘argparse’ module
  • Learning ‘list’ data structure
  • Slicing in Python
  • Use of ‘set’ and ‘dictionaries’ in real-life problems
  • Generators for memory management
  • File I/O
  • Importing/Exporting modules
  1. The Python Bible™ | Everything You Need to Program in Python

    A project-oriented course that promises to turn you from beginner to professional in Python.
    • Topics covered in Python Tutorial:
      • OOPs concepts
      • Data structures
      • Create custom functions to automate tasks
      • Variables and string
      • Loops
      • Create 11 projects
    • Cost:  $11 in US and INR 770 in India
    • Type: Video lectures
    • Version: Python 3
    • Medium: Video-based with additional written content
    • Level: Beginner
    • Features: Over 9 hours of content split over multiple lectures
    • Requirements: None
    • The language of communication: English

  2. Python 101: Interactively learn how to program with Python 3

    Michael Driscoll created this course for beginners and his aim is to make them write a program for themselves.
    • Topics covered in Python Tutorial:
      • Python basics
      • Python libraries
      • Packages and distribution
      • Virtual environment
      • Importing/exporting
      • Functions and classes
      • File I/O and Exception handling
      • Data structures and conditional statements
      • Loops
    • Cost: $18 in US and INR 1285 in India
    • Version: Python 3
    • Medium: Text-based chapters
    • Level: Beginner
    • Features: Self-paced
    • Requirements: None
    • The language of communication: English

  3. Complete Python Bootcamp: Go from zero to hero in Python 3

    This course covers basics and helps you create your own games and applications.
    • Topics covered in Python Tutorial:
      • Functions, objects, classes, and data structure
      • OOPs
      • File I/O
      • Module and packages
      • Errors and exception handling
      • Generators and decorators
      • GUI libraries
    • Cost: $11 in US and INR 770 in India
    • Version: Python 3
    • Medium: Video-based 186 lectures
    • Level: Beginner
    • Features: 24 hours with additional content and exercises
    • Requirements: None
    • The language of communication: English

  4. Automate the Boring Stuff with Python Programming

    A project-oriented course by Udemy aiming to improve the productivity by writing simple Python programs.
    • Topics covered in Python Tutorial:
      • Python basics
      • Flow control
      • Functions
      • Error and exception handling
      • Lists, dictionaries, and Strings
      • Regular expressions
      • File I/O
      • Debugging and Web scraping
      • GUI and email automation
    • Cost: $11 in US and INR 770 in India
    • Version: Python 3
    • Medium: Video-based 51 lectures
    • Level: Beginner
    • Features: 9.5 hours of video content with additional written material and exercises
    • Requirements: None
    • The language of communication: English

  5. Learn Python Programming Masterclass

    This Python course teaches the basics of the language and also provides training of Python 3.
    • Topics covered in Python Tutorial:
      • Setup in OS (Windows, Mac, Linux)
      • Flow control
      • List, tuple, dictionary, sets, and ranges
      • File I/O, modules, and packages
      • OOPs
      • Databases
      • Generator, comprehension, and lambda expression
    • Cost: $11 in US and INR 770 in India
    • Version: Python 2/Python 3
    • Medium: Video-based 224 lectures
    • Level: Beginner
    • Features: Over 42 hours of videos along with written material and assignments
    • Requirements: None
    • The language of communication: English

  6. The Python Mega Course: Build 10 Real World Applications

    This beginners course by Udemy aims to turn you from a beginner to a Python professional through a project-based teaching approach.
    • Topics covered in Python Tutorial:
      • Basics
      • Debugging
      • Data analysis with Pandas
      • Numpy
      • GUI library - Tkinter
      • Data visualization
      • Web scraping
    • Cost: $11 in US and INR 770 in India
    • Version: Python 2
    • Medium: Video-based 241 lectures
    • Level: Beginner
    • Features: 24 hours of video content with additional articles, 10 projects, and exercises
    • Requirements: None
    • The language of communication: English

  7. The Complete Python Masterclass: Learn Python From Scratch

    This course for beginners is designed specifically for those who want to master web development through Python.
    • Topics covered in Python Tutorial:
      • Basics
      • Control structures
      • Functions, modules, and classes
      • Exception handling
      • GUI library - Tkinter
      • RegEx
      • OOPs
      • Django
    • Cost: $11 in US and INR 770 in India 
    • Version: Python 3
    • Medium: Video-based 263 lectures
    • Level: Beginner
    • Features: 24 hours of video content with 38 additional articles, and projects
    • Requirements: None
    • The language of communication: English

  8. Python For Developers

    After their success with classroom courses, Coding blocks have launched an online course for newbies who are looking to get a good command over Python.
    • Topics covered in Python Tutorial:
      • Control flow
      • Data structures
      • Functions
      • OOPs and modules
      • File I/O
      • Parallel programming
      • Python for data science
      • Flask
      • Automation/Selenium
    • Cost: $98 in US and INR 6999 in India
    • Version: Python 3
    • Medium: Video-based 100+ lectures
    • Level: Beginner
    • Features: 11 months of official course
    • Requirements: None
    • The language of communication: English

  9. Python Bootcamp: From beginner to professional, incl. Data Science

    The aim of this course is to teach Python to a newbie and make them understand the basics thoroughly.
    • Topics covered in Python Tutorial:
      • Basics
      • Lists and OOPs
      • Modules
      • Data structures
      • Exception handling
      • Flask
      • OpenGL
      • OpenCV
    • Cost: $11 in US and INR 770 in India
    • Version: Python 3
    • Medium: Video-based 318 lectures
    • Level: Beginner
    • Features: 30 hours of video content with 42 additional articles
    • Requirements: None
    • The language of communication: German

  10. Python for Beginners: The Complete Guide

    If you don’t have any basic knowledge of Python, then this course is best suited for you. It starts from the basics of the language and covers advanced concepts as well.
    • Topics covered in Python Tutorial:
      • Variables
      • Functions and structures
      • Lists, tuples, and dictionaries
      • OOPs
      • Exception handling
      • Modules
    • Cost: $11 in US and INR 770 in India
    • Version: Python 3
    • Medium: Video-based 99 lectures
    • Level: Beginner
    • Features: 7 hours of video content with 7 additional articles
    • Requirements: None
    • The language of communication: French

  11. Code Like A Pro

    It is a book that teaches how to write clean, disciplined, well-organized, and industry-level code through examples.
    • Topics covered in Python Tutorial:
      • Foundations
      • Extensibility and flexibility
      • Rules of inheritance
      • Loose coupling
    • Cost: $49.99 in US and INR 4294 in India 
    • Version: Python 3
    • Medium: Book
    • Level: Beginner
    • Features: Over 12 chapters and download available in Kindly, pdf, eBook etc. formats
    • Requirements: None
    • The language of communication: English

  12. Python 101: Interactively learn how to program with Python 3

    The course aims to teach Python 3 basics and make students able to create their own applications.
    • Topics covered in Python Tutorial:
      • Python basics
      • Python’s standard library
      • Intermediate material
      • Packaging and distribution
    • Cost: $18 in US and INR 1289 in India 
    • Version: Python 3
    • Medium: Text-based
    • Level: Beginner
    • Features: Self-paced, Over 161 lessons and download available in Kindly, pdf, eBook etc. formats
    • Requirements: None
    • The language of communication: English
  1. Mastering Object-oriented Python

    This book covers advanced OOPs with the help of detailed examples.
    • Topics covered in Python Tutorial:
      • Attributes access, properties, and descriptors
      • Consistent designing
      • Containers and collection
      • Decorators
      • Storing, retrieving, and sharing an object
      • Testing
      • Module
      • Configuration files
    • Cost: $4.18 in US and INR 299 in India
    • Version: Python 3
    • Medium: Book
    • Level: Beginner
    • Features: Self-paced, over 18 chapters and download available in an eBook format with an option of buying print as well.
    • Requirements: Good command over Python language and experience with some Python projects
    • The language of communication: English

  2. Programming with Python:

    Course designed for advanced programmers having an interest in web development and machine learning.
    • Topics covered in Python Tutorial:
      • Code organization
      • Sequences and iteration
      • Text manipulation
      • OOPs
    • Cost: $199 in US and INR 14,244 in India 
    • Version: Python 3
    • Medium: Video-based course
    • Level: Advanced
    • Features: 2-month course, 7 units, and a project
    • Requirements: Good command over Python language
    • The language of communication: English

  3. Data Visualization in Python

    With a surge of demand for data scientists, the need to learn how to visualize data has also increased. This course, therefore, addresses that need and teaches the student how to effectively visualize data using matplotlib and Seaborn.
    • Topics covered in Python Tutorial:
      • Creating line graphs
      • Creating bar charts
      • Creating pie graphs
      • Adding error bars, labels, and styling to graphs
      • Add error bars to graphs
      • Add labels and styling to graphs
    • Type: Paid online course
    • Version: Python 2
    • Medium: Video-based course
    • Level: Advanced
    • Features: 6 hours of content, More than 10,000 students have already taken this  course
    • Requirements: Good command over Python2
    • The language of communication: English

  4. Python Certification Training for Data Science

    This is a certification course and is most suitable for advanced Python programmers, who are looking to venture into Data science world.
    • Topics covered in Python Tutorial:
      • Sequence and File operations
      • Function, OOPs, Modules, Errors and Exception
      • Machine learning with Python
      • Model selection and boosting
    • Cost: $308 in US and INR 21,995 in India.
    • Version: Python 3
    • Medium: Video-based course
    • Level: Advanced
    • Features: 7-week (weekend) course, more than 35,000 have already taken this  course
    • Requirements: Good command over Python and data science tools
    • The language of communication: English

  5. Python Programming

    Students will learn how to create programs using functions, packages, classes, and modules as part of Python’s OOPs. They are also taught Python from basics.
    • Topics covered in Python Tutorial:
      • Python fundamentals
      • Expressions - RegEx
      • Control flow
      • Exceptional handling
      • Code organization
      • Arrays, collections, and dictionaries
      • File I/O
      • OOPs
      • Database
    • Cost: $2295 in US and INR 1,64,000 in India
    • Version: Python 3
    • Medium: Video-based course
    • Level: Advanced
    • Features: 4-day course, Course available for download in PDF and catalog format
    • Requirements: Good command over Python or any other programming language
    • The language of communication: English

  6. Mastering Python:

    This course discusses effective Python application development strategies used in the industry.
    • Topics covered in Python Tutorial:
      • Package
      • Best practices
      • Command-line utility
      • Parallel processing
      • Coroutines and asynchronous I/O
      • Metaprogramming and Microservices
      • Testing
    • Cost: $4.18 in US and INR 299 in India
    • Version: Python 3.5
    • Medium: Video-based course
    • Level: Advanced
    • Features: Over 5 hours course
    • Requirements: Good command over Python or any other programming language
    • The language of communication: English

Ranging from courses to books, here is a list of some of the best ways to learn Python language in 2019.

  • Complete Python Bootcamp: Go from zero to hero in Python 3: This course, offered by Udemy is designed specifically for beginners who want to jumpstart their Python career. The course, with a duration of 24 hours approximately, teaches how to create something as simple as classes to as complex as decorators. It also provides some hands-on experience by teaching how to create games on Python as well.

  • The Python Bible™ | Everything You Need to Program in Python: A project-based course by Udemy aiming to turn you into a professional from a beginner in total 9 hours approximately. It covers Python basics such as loops, variables, data structures and provides guidance to create 11 projects throughout the course.

  • Google's Python Class: Google launched this course seeing the amount of interest Python is getting and through it, it aims to bring up to start inexperienced programmers. It uses lectures, coding exercises, and written materials as well for teaching basics as well as more advanced libraries of Python such as HTTP, IO etc.

  • Full Stack Python: Best Python videos: This site hosts a collection of video resources ranging from basics to advanced level of tutorials. It is recommended for both beginners as well as experts to visit and learn from the resources offered by this site.

Below is the list of top Python books for experts-

  • Python Cookbook: This book brings you up to pace with current industry coding standards by teaching you the basics of Python as well as its advanced features. This book is specifically written for Python 3. As it covers common tasks applicable to a variety of application domains along with the core language topics, this book is more suited for experienced programmers. This book includes topics such as:
    • Metaprogramming
    • Network and web programming
    • Exception handling, debugging, and testing
    • Using C extensions in your Python program
    • Data processing and encoding
  • Learn Python the Hard Way: Written by Zed Shaw, author of the Learn Python the Hard way series, this book aims to influence experienced programmers by implanting discipline, persistence, and commitment to a task in them. Through its 52 exercises, the book aims to highlight what mistakes are made by professionals and how to fix them, how to effectively structure your program and much more. It also introduces readers to tricks used by expert Python developers to debug their code and fix the errors. It includes major topics such as:
    • Debugging and testing
    • Basic game and web development
    • Python packaging
    • Organizing, writing code and program designing
    • Composition and inheritance
  • Python Crash Course: A Hands-On, Project-Based Introduction to Programming: This book is divided into two halves. The first half aims at covering the basics of Python language and the second half aims to put that knowledge into use by implementing three projects which can be deployed to the internet as well. You should read this book due to the following highlights:
    • It teaches how to integrate powerful and robust libraries like matplotlib, NumPy etc. to your program.
    • Make interactive 2D games.
    • Data visualization
    • How to find and debug one’s own code.

Python has been labeled as the most wanted programming language according to a 2018 developer survey which consequently means a Python developer would have a high salary compared to his/her counterparts in other programming languages. Although the salary of a Python developer depends on various factors, the average salary in the US is still approximately $116,379. This high number is basically due to 2 points:

  • After 2015, the popularity of the language has skyrocketed and it has overtaken PHP
  • Due to its general purpose usability, its demand has exploded and supply has been slow to keep up. This has increased the salary of Python developers around the globe.

How to Learn Python-2&3

  • Figure out what motivates you

    Before you begin your Python journey, it is important for you to figure out the thing that motivates you and makes you want to continue your Python learning journey. This step will help you set an end goal for yourself, ensuring that you always have your eye on the final destination so that you do not abandon the task midway.

    We recommend choosing an area wherein you wish to apply your Python knowledge. Some of these areas where you can apply your knowledge of Python include the following:
    • Games
    • Websites
    • Mobile Applications
    • Machine Learning applications
    • Data Science
    • Development of scripts in order to automate work
    • Hardware/ Robots/ Sensor development
  • Learn the basic syntax

    In order for you to be actually able to apply your knowledge of Python to the application area you choose, it is very essential that you do not skip this step. However, spending only a minimal amount of time on this step will do the trick as once you understand the basic Python syntax and are able to develop a few basic programs with the same, you will be able to do the rest while you implement your knowledge of Python concepts on the field that you have chosen. The faster you move on to doing projects using Python, the faster you will learn.

  • Develop Structured projects

    Once you are comfortable with the basic Python syntax, it is now possible for you to start developing projects on your own. Developing your own projects in Python is one of the best and the most efficient ways of learning Python. It is difficult to retain knowledge until you actually apply it and when you develop a project, that is exactly what you do.

    Projects push you beyond your own capabilities, they help you learn in a manner that you are unlikely to forget what you have learned and they also help you build a portfolio as you go about your journey of learning Python.

Although there are many releases of Python after Python 2, many projects and applications still operate on Python 2, which makes it essential to learn Python 2 as well. We have compiled a list of courses which will help you learn Python 2 in the best way possible.

  • Python 2 Course: This is a self-study course which encourages students to explore the tutorial by themselves and learn by implementing. Although this tutorial is best suited for beginners, due to the sheer depth of knowledge in this course, intermediates and experts can also check this course out. The site provides an online Python interpreter to try some hands-on although it also gives you an option to download the whole site and print it.

  • Python 2.7 Tutorial: This course’s tutorials are based on mybringback youtube channel’s Python content. Aimed at absolute beginners, this course also provides with learning material to go with the tutorial videos. Some of its advantages are:
    • Video-based tutorials
    • Free course
    • Does not offer much detail, is concise.
  • Learn Python 2: This is a 22-part course which teaches Python 2 from scratch. No prerequisites are required for this course. Course content is a mixture and refinement of two famous Python courses - Django girl’s Python tutorial and Google’s Python class. This is a free course which can be completed in about 3-4 weeks. Some of the highlights of this course are:
    • Beginner friendly
    • Dictionaries and lists are taught
    • Introduces Regular expression and Python 2 utilities
    • Teaches sorting as well as File I/O

We have compiled a list of top courses on the internet that you can enroll yourself into to learn Python 3.

  • The Complete Python 3 Course: Go from Beginner to Advanced!: This course turns you from a beginner to an advanced Python 3 programmer by teaching Object-oriented programming. To go along with OOPs concepts, it also teaches how to use Python 3 to write general automation scripts by teaching you the basics of programming languages as well as Python 3 itself.

  • Learn Python 3 from scratch: It helps you implement OOPs by making your own hobby projects using Python 3.x and aims to turn a newbie into an experienced programmer. Apart from teaching OOPs, it also introduces you to important Python frameworks used in industry and guides how to make a back end web application using Python.

  • Learn Python 3: Using Python 3, it introduces you to the programming world. It teaches fundamental concepts of programming and Python language. This course teaches many topics of Python 3, important ones are mentioned below:
    • Basic syntax
    • Functions, function arguments and classes
    • Lists and dictionaries
    • File I/O
    • Python 3 control flow

In the diverse world of programming languages, Python has come out on top and attracted professionals and beginners alike due to the numerous benefits it provides:

  • As it can be used for general purpose tasks, most of the platforms of automation, big data and data mining rely on Python.

  • Due to its high readability and ease of learning, Python is highly recommended for both, research as well as for someone new to the programming world.

  • Due to its huge global community, it has numerous packages and from time to time its stable updates are released to keep up the new features in trend.

  • Important and useful frameworks like Ruby on Rails, Django etc. which help in smoothing the complete development process are powered by Python.

  • When compared to experts of other programming languages like Java or C#, skills of experienced Python coders tend to stay more organized as it provides a more productive coding environment than others

Here are some of the best resources to learn Python:

  • Learn Python 2 - Codecademy: This course covers both, Python programming language as well as the fundamentals of programming language. There are no prerequisites for this course and it takes approximately 25 hours to complete.

  • Real Python: This course covers web programming using Python language along with first teaching the basics of the language itself. For web development frameworks are also taught such as Django, flask, and web2py.

  • Learn Python, it's cake - Udemy: If you are a beginner without the knowledge of coding and want to jumpstart your Python career then this is the best free course offered. The course requires approximately 7 hours for completion.

  • Python for entrepreneurs: If you are looking to use Python in your startup or your own business then this is the best course to enroll. It costs $89 USD and is over 19.3 hours long.

If you want to learn Python and have no experience in it, below is the list of steps you can follow-

  1. Find motivation: Python is a huge field and if you dive in without any aim you will lose interest along the way. Therefore, you need to find what motivates you and it doesn’t necessarily have to be a project, it can also be a specific area of interest. For eg:
    • Data science
    • Machine learning
    • Web development
    • Game programming
  2. Learning basics: Start learning the basics by which we mean syntax of Python mainly. It is easy to read and understand the syntax of Python and even a non-technical person can learn its syntax in a short amount of time. You can use the following courses to bring you up to speed.
  3. Implementation: After you have learned theory, it's time to implement. There are many things which you can only learn only after you experience it. For starters, try making your own project. It may be as small as creating an automation script but it is essential that you yourself make it. Understand the errors and learn from them.

  4. Social coding: Start contributing to online open-source projects to understand how programs are made commercially or officially. You can use websites such as GitHub etc. for the same. Social coding also helps establishing your network which may further help you in your career as well.

  5. Competitions: Competitions, whether online or offline such as hackathons, are an important source of learning. You learn here how to obtain a solution which is optimum and under a given set of constraints. Competitions encourage you to think out-of-the-box for a simple problem.

Dictionaries in Python are unordered, mutable, and indexed collections which contain data in the form of keys and values. Below are some of the most common operations performed on a dictionary.

  1. Create a dictionary: Use curly brackets to define one.

    temp = {
                       “a”: 100,
                        “b”: 200
                    }

  2. Add key-value pair: Assign as in array.

    temp[“c”] = 300
    print temp

  3. Remove key-value from dictionary: We use del keyword for the  purpose.

    del temp[“b”]
    print temp

  4. Testing element in dictionary: To check if an element is in dictionary or not, we use in keyword.

    >>>“c” in temp
    True

  5. Get value of a key: Use get function for the same.

    print temp.get(“a”)

You can learn Python from books recommended by top Python developers in the industry. We have compiled such list which will help you choose a book best suited for you.

  1. Python Cookbook
  2. Head First Python
  3. Learn Python the Hard Way
  4. Python Programming: An Introduction to Computer Science
  1. Python Cookbook:
    If you want to buy one book and learn it all, then this is the best choice available. It provides a comprehensive guidance on how to write industry grade code along with covering all the basics as well. It includes basic topics such as strings, text, concurrency, generators, File I/O and advanced topics as well like data encoding and processing, system administration, and utility scripting to go along with much more.

  2. Head First Python:
    Following visual approach rather than a text-based approach, this book aims to jumpstart your Python career by making you understand the fundamentals of Python through hands-on exercises. From teaching to work with simple built-in functions of Python, you will be taught to create your very own web applications that use a database, exception handling, and data wrangling.

  3. Learn Python the Hard Way:
    The famous book which uses 52 exercises to teach you how to code professionally is generally recommended for experienced programmers. The author, Zed Shaw, aims to effectively make you into an industry-grade Python developer by teaching you how to structure your program, avoid mistakes made by professionals, how to debug, test etc. It also throws some light on what tricks are used by professionals to find errors in their code which is why it is a must read for any aspiring Python professional.

  4. Python Programming: An Introduction to Computer Science:
    If you have little to no experience in programming and want to start your coding journey with Python then this is the best-suited book for you. It starts from the base level by introducing you to computer science concepts and gradually builds up your knowledge about the same using only Python language in a way that is interesting and easy for beginners.

Python is becoming more and more the preferred language for data scientists, so if you are one or aspiring to become one it is imperative then you start learning Python if you haven’t already. Below are the steps to get you started for data science with Python.

  • Step 0: Setting up Python on your system and downloading Anaconda as well. This will set up your environment with all the necessary basic tools for programming.

  • Step 1: Start learning about Python as a programming language, how to use multiple libraries into one program to get the desired output. Learn about tuples, lists, dictionaries, importing/exporting of libraries/functions as well etc.

  • Step 2: Data cleaning is an important step in data science projects which prepares and corrects the input data. Input data can be of various forms, one such form is text data for which you can learn Regular expressions provided by Python for the same.

  • Step 3: Get familiar with popular data science libraries such as NumPy, SciPy, scikit-learn, matplotlib etc. Create projects using these libraries to better grasp their knowledge.

  • Step 4: An important part of the job for a data scientist is to visualize the data given and Python provides with a library perfectly suitable for the job - matplotlib. Play around with this library and try to visualize as much datasets as possible.

  • Step 5: The most important step in data science is by using your Machine learning knowledge. Python, thus, provides with numerous libraries which can help in setting your ML model into which data can be injected. It is essential that you learn deep learning as well if you ever want to become a data scientist. scikit-learn is the most useful library provided by Python for the same.

  • Step 6: Practice and practice. You need to practice your skills in order to become a data scientist. Be it through projects or even online competitions like Kaggle etc.

Python Setup

Python is a programming language that is independent of the platform. This means that once you develop a Python script, it can be run on all the platforms that are supported by Python.

  • There are various ways to install Python on your system, depending upon the Operating System that you are using.

  • Read on to find out the steps to install Python on Window as well as Mac OS X.

  • In case you already have Python installed on your system, then you are ready to start developing and running Python scripts of your own.

Windows does not require Python to be native to the system, thereby not requiring the system to have a preinstalled version of Python, unlike most Unix systems.
Since Python is continually being developed, some platforms that used to be supported by Python earlier may no longer be supported. Thus, it is important for a user to check the PEP 11 for the details of all the platforms that are not supported.

  • Download the Python installer and unzip the file.
  • Make sure that the launcher is on your PATH before you move on to installing Python
  • Fire up the command prompt and execute:
    • Py
      Command on the command line
  • In case you have multiple versions of Python installed on your system, the latest version will be launched when you execute the above command.

We move to install the latest available and stable version of Python 3, which is Python 3.6, at the time that this was written. In order to install Python, we will make use of the Anaconda Python package, which is to be installed in your system in the following ways:

  • Visit the Anaconda home page by clicking on the following link:
  • Click on the Anaconda tab from the menu and then proceed to click the Download tab in order to proceed to the Download page.

  • Once you land on the download page, choose the download that is suitable for your operating system viz. Linux, OSX or Windows.
    • Choose the Python 3.6 option
    • Proceed to choosing the Graphical Installer
  • The above steps will lead to the initiation of the installation of the Anaconda Package on your workstation.

  • Install Anaconda
    • Now that the Anaconda Package is downloaded on your system, we will then proceed to install Anaconda.
    • Before you proceed, please make sure that you have sufficient administrative privileges required in order to install a software on your system.
    • Proceed to clicking on the downloaded Anaconda file.
    • This will open up the Anaconda installation wizard, which will allow you a quick and painless installation of the Anaconda package.
    • The installation of the Anaconda package will not take more than 1 GB of disk space on your hard drive.
    • The entire process should not take you more than 10 minutes.
  • Initialize and update Anaconda
    • Once the Anaconda Python package is installed in your system, we will then proceed to check whether the Anaconda Python environment installed in your system is up to date.
    • The Anaconda Python package includes a full suite of Graphical Tools,  which are termed Anaconda Navigator. This Navigator can be launched from the application launcher.
    • From the Application Launcher window, choose the Conda option. Conda is chosen for this purpose as it simple and fast.

    • Open a command line window and confirm that conda is installed in your environment correctly by typing out the following command:
      • Conda -V
    • Next, confirm if Python is correctly installed by typing out the following command in the command line:
      • Python -V
    • If the system does not throw up an error, it means that Conda was installed successfully.

    • Confirm that the Conda version is up to data by typing out the following command in the command line:
      • Conda update conda
      • Conda update anaconda

Running Python on Mac OS X is very similar to running it on any other Unix platform. The only difference is that there are a couple of additional features such as the Package Manager and the IDE, that need to be given attention to in a Mac OS X.

  • Mac OS X is usually pre installed with Python 2.7.

  • In case you wish to install a newer version of Python, simply visit the Python Website (https://www.python.org) and download the latest version.

  • On the installation of Python on Mac OS X, you get the following:
    • A framework, viz. /Library/Frameworks/Python.framework, that includes the Python libraries and executable. This location is added to the shell path by the installer itself and you have to do nothing manually. In case you wish to uninstall MacPython in the future, you can simply remove these from your system and you will be done. 
    • A MacPython 2.7 folder that is made in your Applications folder. Inside this folder, you will find the IDLE, which is the development environment that is a part of the standard Python distributions.
      • The PythonLauncher, which handles the double clicking Python scripts from the Finder, is also included in this.
      • The Build Applet tool is also included. This tool allows the developer to package the Python scripts as standalone applications in the system.
  • The build of Python that is provided by Apple is installed in the /usr/bin/python  and /System/Library/Frameworks/Python.framework. It is important to remember that the user must not modify or delete any of these as they are both controlled by Apple and are made use of either Apple or by third party softwares.

  • The IDLE also includes a help menu that enables the developer to access the Python documentation, which contains everything from tutorials to FAQs in order to make the use of Python easier for the developer.

Python 2.7 and Python 3.5 come preinstalled on Ubuntu LTS. However, if by any chance your Ubuntu does not have a Python and you want to install say Python 3.6 then follow the below steps to get it. We will be using the apt-get package manager to fetch Python.

  • Open the terminal and update the apt-get package using the following command and enter the password when prompted:

                $ sudo apt-get update

  • Enter the following command to install Python 3.6 and enter the password when prompted:

                $ sudo apt-get install python3.6

  • Run python 3.6 by using the following command:

                $ python3

The above command would launch Python 3 interpreter.
Note: You would also like to install setuptools and pip which are the two most crucial third-party Python packages.

Python Programming

Listed below are some of the main reasons why you should learn Python Programming:

  • Popularity and potential for high salaries: Python is very popular among developers. As it is has been proven to to be a truly universal language that can be used to meet various development needs, it offers a lot of options to programmers in general.Python experts draw among the highest salaries in the industry.

  • Extensible and portable: These two properties of the Python programming language allow a developer to seamlessly perform cross languages operations. Python is also supported by some of the leading platforms in the industry including Macintosh, Linux, PlayStation and Solaris, among several others.

  • Simple and Easy to learn: Python is a programming language that is very simple and easy to learn. It is very powerful, yet has syntax that resembles the English language very closely. The following are the contributors to the simplicity of Python:
    • Interpreted 
    • High level
    • Large and active community of developers
    • Free and open source
  • Web Development: Python provides developers with a variety of frameworks in order to enable the development of websites. Since most frameworks on which websites are based are built on Python, Python code is, therefore, run faster and in a more stable manner.

  • Testing Framework: Python is a great platform for established companies to validate products or ideas. Python consists of a number of testing networks that are built in, including frameworks to test fastest workflows as well as debugging. Testing is usually a tedious task but is made easier with the use of Python.

  • Computer Graphics: Python is used in a variety of online as well as offline projects. The ‘Tkinter’ library in Python provides developers with an easy and a fast method to create applications. Python can also be made use of in order to develop a game with the ‘pygame’ module.

  • Scripting and Automation: During Scripting,
    • The code is written in the form of scripts, which are executable
    • The machine reads and interprets these scripts
    • Checking for errors is performed during Runtime

If you are just starting your Python journey and you want to create your first Python program then just follow the steps we have defined below.

  • Step 0: Make sure Python is installed. You can check the same by using following command which will the show the version of Python you have installed on your computer.

                    python --version

  • Step 1: Open a notepad or any other text editor on your system suitable for you and write the following code in it:

                    print “Hello world!”

  • Step 2: Save the file as <filename>.py so for our example we will save the file as hello.py. The .py extension tells the python interpreter that this is a python file and to treat it as such.

  • Step 3: All that is left is to open your command prompt or terminal, navigate to the directory holding your .py file and run the following command.

                    hello.py

Output: Hello world!

A Python program can be run in the following two ways:

  • Running a Python program in a Python shell
    • Fire up your IDLE (Python GUI) file
    • Simply type in your Python script and press enter
    • Your program will start running
  • Running a Python program stored in a file

    In order to run a Python program stored as a Python script in a file, follow the given steps:

  • Write your script in an independent file

  • Save the file with a ‘.py’ extension, thus indicating to the system that the file is a Python program.

  • Initialise the terminal on your system.

  • Navigate to the directory where you have stored your file with the .py extension by typing the following command in the terminal:
    • Cd directoryName.
    • Now press enter
  • Type the command
    • Chmod a+x filename.py in order to inform your system that the said file is an executable program.
  • Next, type ./filename.py in order to run your program.

There are basically two ways to run Python on any OS for that matter:

  • Run commands on Python REPL (interpreter)
  • Run a Python program file which contains the commands

For both ways, Python is needed to be installed on your operating system. You can check that by typing the following command which will tell you the Python version currently installed:
python --version

  • If Python executable binary is in your classpath then you can simply type python to enter its REPL shell.
  • Alternatively, if you want to run a file and Python executable is in your windows classpath then all you need to do is open command prompt and enter the location of the file.
    • For example:

      >> C:\Users\y\hello.py   - For Windows
      $ /usr/bin/hello.py          - For Linux (Ubuntu)

The above command finds the hello.py file and starts executing it.

The best and the most efficient way to run Python on Mac OS X is to run it through the IDLE integrated development environment that comes along with the installation of Python on the system.

  • In order to run Python scripts from the Finder or the Terminal window command line, you will first require a document editor in order to create a script.

  • Several standard Unix command line editors are already pre installed into the Mac OS X. Some of these include emacs and vim.

  • Make sure that /usr/local/bin is in the shell search path, if you wish to run the Python script from the Terminal window.

  • In case you wish to run the Python script from the Finder, the following two options are available:
    • Drag it to the PythonLauncher
    • Choose PythonLauncher as the default application in order to open a script through the Finder. The Option Dragging option is one of the many preferences that PythonLauncher allows users to choose from. This option allows the user to either use its Preferences menu to change settings globally or change the settings for a single invocation.
  • In case you wish to run your Python script with a GUI, make use of pythonw instead of python in order to initialize these scripts.

Java and Python are two of the most popular programming languages in the world. The reasons for the raging popularity of Java and Python are the efficiency, automation capabilities and the versatility that the two programming languages offer.

  • The main difference between Java and Python is that while Python is a dynamically typed language, Java is statistically typed. This means that while Java performs type checking at the time of compilation and does not compile a script that has errors, Python actually compiles the programs even if the scripts contain errors that prevent the script from running properly.

  • Python, however, is ranked slightly better as compared to Java in terms of efficiency, performance, ease of understanding and readability.

  • Python is also ranked as the top language preferred by beginners, majorly owing to the fact that it is easy to understand and write. It reads almost like the English language and is more intuitive from a syntactical standpoint. 

  • Another reason for the popularity of Python over Java is that Python is a general purpose programming language and has multiple applications from website designing, game development, artificial intelligence and data science to scientific computation and desktop applications. Thus, learning Python allows a developer to expand his/her horizons and focus on varying areas of technological advancements.

All in all, while Java has its benefits, learning Python makes more sense as it is more intuitive, flexible and creates a more enjoyable experience for the developer.

Python Projects

If you want to start implementing your first Python project then we have compiled a list of projects which can help you get started and right to coding.

  • Guess the number game: As the name suggests, this game aims at generating a random number and making the player guess it. If the response is correct, it is shown accordingly but if it is wrong then the game indicates the player by how much the answer deviates. Concepts used in the project:
    • Random function - to generate a random number
    • Variables - to store and access data
    • I/O - To take the guessing number as input from the player
    • Conditional statements - to check the validity of the answer and keep the game going accordingly
  • To-do list application: Almost every programmer creates a to-do list application when one starts the coding journey. You must be able to add, delete and update your items in the list. Concepts used in the project:
    • UI - GUI libraries will be used to create a smooth UI with buttons
    • Conditional statements - to control the flow of the program
    • I/O: To take inputs and provide suitable outputs to the user
    • Variables - to store and access the data in the program
  • Adventure game: Player gives the direction and entity is moved correspondingly. Constraints here are the walls, if a player confronts a wall then a suitable message must be displayed. Concepts used are:
    • UI - GUI libraries will be used to create a smooth UI with buttons
    • I/O: To take directions as input and provide output message as well
    • Variables - to store and access the data in the game
    • Conditional statements - to control the flow of the program
    • List and data structures: To store the map of the game
  • Calculator: Perhaps the simplest of a program is to create a UI calculator application for the desktop. Concepts used here are:
    • UI - GUI libraries will be used to create buttons and display field
    • Variables - to store and access the data in the game
    • I/O: To take numbers as input and provide an output result
    • Conditional statements - to check the validity of the statement

Below is the list of best courses offering to teach the structuring used in the industry for Python projects.

  1. Learn Python the Hard Way
  2. scikit-learn documentation
  3. Python Cookbook
  1. Learn Python the Hard Way:
    This is a book for experienced programmers which aims to turn you into an industry standard Python developer by providing you insights on the tricks used by them to debug and fix their code, how they structure their project to get maximum benefits and much more.

  2. scikit-learn documentation:
    It is the main Python machine learning library which hosts a collection of algorithms used frequently in data science projects.

  3. Python Cookbook:
    This book is a must read for every Python developer and it is an all in one book. It contains all the necessary information you would require to become an industry grade Python developer. Along with teaching core language basics, it also throws some light on the structuring of the project and what are consequences of it.

If you are looking to expand your implementation knowledge as a Python developer then you need to work on projects and below is the list for you to help you find some good projects to work upon.

  • Meetups: There are plenty of meetups around the globe regularly for Python developers where peers discuss the latest technology trends, projects, and new innovations. You can gather inspiration from there.

  • Social coding: Engage yourself in social coding. Take up projects from NGOs as a volunteer or even from your friends for that matter and help contribute to them.

  • Self-made projects: Find a necessity or need and convert that into a project to help you.

  • Hackathons: Hackathons are a great place for taking inspiration for projects. You can even contribute to your peers’ codebase if you liked their project.

  • Open-source: Last but not least, Python has a huge open-source community and you can take up any of its packages and start contributing to it.

Python Books

Sr. No

Book Title

Author

Originally published year

Cost

Pages

Publisher

Goodreads rating

1

Learning with Python: How to Think Like a Computer Scientist

Jeff Elkner, Allen Downey and Chris Meyers

January 2002

Free

288

Green Tea Press

3.8/5

2

A Byte of Python

C H Swaroop

September 2013

Free

159

ebshelf Inc

3.6/5

3

The Coder's Apprentice: Learning Programming with Python 3

Pieter Spronck

September 2016

Free

160

Independently published

4.5/5

4

Python for Everybody: Exploring Data in Python 3

Charles Severance

October 2017

Free

248

Shroff Publishers

4.5/5

5

Natural Language Processing With Python Steven Bird, Ewan Klein, and Edward Loper

Steven Bird, Ewan Klein, and Edward Loper

2009

Free

524

Shroff Publishers

4.7/5

6

Python and Coding Theory

David Joyner

2010

Free

416

USNA

4.8/5

7

Learning Python

Fabrizio Romano

2013

Free

1616

Shroff Publishers

3.9/5

8

Fast Lane to Python

Norm Matloff

2015

Free

171

University of California

4.4/5

9

Dive Into Python 3

Mark Pilgrim

2012

Free

496

CreateSpace

3.5/5

10

Python 3 Basics Tutorial

Kristian Rother

2018

Free

896

GitBook

4.3/5

11

Python Crash Course

Eric Matthes

2015

Kindle edition: $ 21 in US and INR 1,531 in India

 

Paperback: $ 33 in US and INR 2,360 in India

560

No Starch Press

4.5/5

12

Automate the Boring Stuff with Python

Al Sweigart

April 2015

Kindle Edition: $ 16 in US and INR 1,148 in India

Paperback: $ 22 in US and INR 1,548 in India

505

No Starch Press

4.25/5

13

Doing Math with Python

Amit Saha

2015

Kindle edition: $ 16 in US and INR 1,148 in India

Paperback: $ 26 in US and INR 1,843 in India

264

No Starch Press

4.26/5

14

 Python Crash Course: Beginning Programming with Python for Dummies with Cheatsheet Kindle Edition

Alexis Jordan

2018

$4 in US and INR 285 in India

176

Independently Published

 4.1/5

15

Learn Python the Hard Way

Zed A. Shaw

2013

Kindle Edition: $ 9 in US and INR 653 in India

Paperback: $ 32 in US and INR 2,282 in India

320

Addison Wesley

4.08/5

16

Head First Python

Paul Barry

2010

Kindle Edition: $ 13 in US and INR 902 in India

Paperback: $ 24 in US and INR 1,700 in India

494

O’Reilley Media

3.8/5

17

Python Programming: An Introduction to Computer Science (3rd Edition)

John Zelle

December 2003

$ 35 in US and INR 2,500 in India

517

Franklin Beedle and Associates

 3.8/5

18

Python: A Beginners’ Guide to Python Programming to automate the boring tasks and learn coding fast

John Slavio

October 2016

Kindle Edition: $ 6 in US and INR 404 in India

Paperback: $ 60 in US and INR 4,270.26 in India

133

Shroff Publishers

3.5/5

19

Python Cookbook: Recipes for Mastering Python 3

 David Beazley and Brian K. Jones

May 2013

Kindle Edition: $ 8 in US and INR 554.40 in India

Paperback: $ 19 in US and INR 1,350 in India

1392

O’Reilly Media

4.8/5


Sr No

Book Title

Author

Originally Published Year

Cost

Pages

Publisher

Goodreads rating

20

Introduction to Machine Learning with Python: A Guide for Data Scientists

Andreas C. Müller and Sarah Guido

2017

Kindle Edition: $ 16 in US and INR 1,140 in India

Paperback: $ 41 in US and INR 2,913 in India

392

O’Reilley Media

3.7/5

21

Fluent Python: Clear, Concise, and Effective Programming

Luciano Ramalho

2015

Kindle Edition: $ 8 in US and INR 596.40 in India

Paperback: $ 28 in US and INR 2,027 in India

792

O’Reilley Media

4.7/5

22

Programming Python: Powerful Object-Oriented Programming

Mark Lutz

1996

Kindle Edition: $ 21 in US and INR 1,491 in India

Paperback: $ 65 in US and INR 4,654 in India

1650

O’Reilley Media

4/5

23

Python Tricks: A Buffet of Awesome Python Features

Dan Bader

December 2017

Kindle Edition: $ 5 in US and INR 348 in India

Paperback: $ 6 in US and INR 456 in India

304

Dan Bader

4.4/5

24

Effective Python: 59 Ways to Write Better Python

Brett Slatkin

2015

Kindle Edition: $ 5.3 in US and INR 378.10 in India

Paperback: $ 32 in US and INR 2,292 in India

256

Addison-Wesley Professional

4/5

25

Grokking Algorithms: An illustrated guide for programmers and other curious people

Aditya Bhargava

2015

$ 38 in US and INR 2,691 in India

592

Manning Publications Company

4.4/5

26

Treading on Python: Volume 2

Matt Harrison

June 2013

Kindle Edition: $ 6 in US and INR 449 in India

Paperback: $ 21 in US and INR 1,480 in India

145

CreateSpace Independent Publishing

 3/5

27

Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visualization

Matt Harrison

June 2016

Kindle Edition: $ 6 in US and INR 449 in India

Paperback: $ 21 in US and INR 1,478 in India

213

O’Reilley Media

4.8/5

28

Python Deep Learning

Valentino Zocca

October 2017

Free

384

Manning Publications

3.9/5

29

The Hitchhiker's Guide to Python: Best Practices for Development

Kenneth Reitz, Tanya Schlusser

2016

Free

324

O’Reilley/Shroff Publications

3.7/5

30

Python Notes from Professionals

Brett Slatkin

1991

Free

700+

Second Hand Press

4.3/5

31

Python Data Science Handbook: Essential Tools for Working with Data

 Jake VanderPlas

2016

Free

550

O’Reilley Media

 4.6/5

32

20 Python Libraries You Aren't Using (But Should)

Caleb Hattingh

2016

Free

468

O’Reilley Media

3.6/5

33

Artificial Intelligence with Python

Prateek Joshi

January 2017

Free

437

Packt Publishing

3.6/5

34

Python Web Frameworks

Carlos De La Guardia

2011

Free

362

O’Reilley Media

4.5/5

35

Hadoop with Python

Zachary Radtka and Donald Miner

2010

Free

580

O’Reilley Media

2.5/5

36

Functional Programming in Python

David Mertz

May 2015

Free

289

O’Reilley Media

3.9/5

37

How to Make Mistakes in Python?

Mike Pirnat

October 2015

Free

743

O’Reilley Media

4.6/5

38

Problem Solving with Algorithms and Data Structures Using Python

Bradley N. Miller and David L. Ranum

2005

$ 39 in US and INR 2,800 in India

438

$ 39 in US and INR 2,800 in India

4.2/5


39

Python Practice Book

Anand Chitipothu.

October 2014

 Free

336

Addison-Wesley Professional

3.6/5

40

The Python Workbook: A Brief Introduction with Exercises and Solutions

Ben Stephenson

January 2015

Kindle Edition: $ 39 in US and INR 2,800 in India

Paperback: $ 27 in US and INR 1,960 in India

457

Independently Published

3.3/5

41

Cracking the Coding Interview: 189 Programming Questions and Solutions

Gayle Laakmann McDowell

2008

$ 30 in US and INR 2,170 in India

708

CareerCup

4.5/5

42

Tiny Python 3.6 Notebook: Curated Examples

Matt Harrison

January 2017

Kindle Edition: Rs. 236

Paperback: Rs. 1,597

136

Createspace Independent Pub

4.8/5


43

Invent Your Own Computer Games with Python, 4th edition

Al Sweigart

May 1st 2010

Kindle Edition: Rs. 1,148

Paperback: Rs.  1,714.

376

No Starch Press

4.04/5

44

Effective Computation in Physics: Field Guide to Research with Python

Anthony Scopatz

 

And

 

 Kathryn Huff

June 25th 2015

Kindle Edition: Rs. 471

Paperback: Rs.  900

552

O'Reilly Media

4.1/5

45

Real Python Course, Part 1

Fletcher Heisler,
Michael Herman and Jeremy Johnson

2017.

Kindle Edition  Rs. 3500

1300

Independent Publishing

NA

46

Python for Kids: A Playful Introduction to Programming

Jason Briggs

2012

Kindle Edition: Rs. 1340

Paperback: Rs. 2053

348

No Starch Press

4.15

47

Teach Your Kids to Code: A Parent-Friendly Guide to Python Programming

Bryson Payne

2015

Kindle Edition: Rs. 1749,

Paperback: Rs. 1752

336

No Starch Press

4.06

48

The Self-Taught Programmer: The Definitive Guide to Programming Professionally

Cory Althoff

2016

Kindle Edition: - Free

Paperback: Rs. 1469

299

Self-Taught Media

4.5/5

49

Programming the Raspberry Pi, Second Edition: Getting Started with Python

Simon Monk

2015

Kindle Edition: Rs. 526

Paperback: Rs. 908

208

McGraw-Hill Education

4.4/5

50

Coding Projects in Python

DK

2017

Kindle Edition: Rs. 2235

Paperback: Rs. 996

224

DK Children

4.8/5


Python is one of the most popular programming languages and is used in many applications from Data Science and Machine learning to Artificial Intelligence and Neural Networks. It was created in the year 1991 by Guido van Rossum and has only gained momentum ever since. The reasons for the popularity of the Python programming language include the following:

  • It is an efficient programming language with data structures that offer a simple and effective approach to coding.
  • It is based on the object oriented programming approach that once understood, will also help a beginner build a base for other programming languages as well.
  • It contains a massive inbuilt library and functions that 
    • Save time
    • Increase efficiency
    • Decrease complexity of programming
  • The Python community of developers is a very vast and helpful community. In case a beginner is stuck at a problem and posts the same on an online forum of Python developers, either of the following may happen
    • Since its a very large community of developers working with the same programming language, chances are that someone else was stuck on a similar problem and the same was resolved so the solution to the problem is already available.
    • In case the solution is not already available, the Python community chips in and the programmer is able to get a solution to his/her problem very quickly, thus boosting the process of learning as well.

We have put together a list of top books.

  1. Learning with Python: How to Think Like a Computer Scientist
  2. A Byte of Python
  3. The Coder's Apprentice: Learning Programming with Python 3
  4. Python for Everybody: Exploring Data in Python 3
  5. Natural Language Processing With Python Steven Bird, Ewan Klein, and Edward Loper
  6. Python and Coding Theory
  7. Learning Python
  8. Fast Lane to Python
  9. Dive Into Python 3
  10. Python 3 Basics Tutorial
  11. Python Crash Course
  12. Automate the Boring Stuff with Python
  13. Doing Math with Python
  14. Python Crash Course: Beginning Programming with Python for Dummies with Cheatsheet- Kindle Edition
  15. Learn Python the Hard Way
  16. Head First Python
  17. Python Programming: An Introduction to Computer Science
  18. Python: A Beginners’ Guide to Python Programming to automate the boring tasks and learn coding fast
  19. Python Cookbook: Recipes for Mastering Python 3
  20. Introduction to Machine Learning with Python: A Guide for Data Scientists
  21. Fluent Python: Clear, Concise, and Effective Programming
  22. Programming Python: Powerful Object-Oriented Programming
  23. Python Tricks: A Buffet of Awesome Python Features
  24. Effective Python: 59 Ways to Write Better Python
  25. Grokking Algorithms: An illustrated guide for programmers and other curious people, by Aditya Bhargava
  26. Treading on Python: Volume 2
  27. Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visualization
  28. Python Deep Learning
  29. The Hitchhiker's Guide to Python: Best Practices for Development
  30. Python Notes from Professionals
  31. Python Data Science Handbook: Essential Tools for Working with Data
  32. 20 Python Libraries You Aren't Using (But Should)
  33. Artificial Intelligence with Python
  34. Python Web Frameworks
  35. Hadoop with Python
  36. Functional Programming in Python
  37. How to Make Mistakes in Python?
  38. Problem Solving with Algorithms and Data Structures Using Python
  39. Python Practice Book
  40. The Python Workbook: A Brief Introduction with Exercises and Solutions
  41. Cracking the Coding Interview: 189 Programming Questions and Solutions
  42. Tiny Python 3.6 Notebook: Curated Examples
  43. Invent Your Own Computer Games with Python
  44. Effective Computation in Physics: Field Guide to Research with Python
  45. Real Python Course
  46. Python for Kids: A Playful Introduction to Programming
  47. Teach Your Kids to Code: A Parent-Friendly Guide to Python Programming
  48. The Self-Taught Programmer: The Definitive Guide to Programming Professionally
  49. Programming the Raspberry Pi, Second Edition: Getting Started with Python
  50. Coding Projects in Python
  1. Learning with Python: How to Think Like a Computer Scientist
  2. A Byte of Python
  3. The Coder's Apprentice: Learning Programming with Python 3
  4. Python for Everybody: Exploring Data in Python 3
  5. Natural Language Processing With Python Steven Bird, Ewan Klein, and Edward Loper
  6. Python and Coding Theory
  7. Learning Python
  8. Fast Lane to Python
  9. Dive Into Python 3
  10. Python 3 Basics Tutorial
  1. Learning with Python: How to Think Like a Computer Scientist

    • Introduction

      This book is an introduction to Python programming. It makes use of the Python language to create wonderful real life programs.

    • Author’s Name: Jeff Elkner, Allen Downey and Chris Meyers

    • Cost: Free

    • What does the book cover?
      • Basics of programming
      • Basic Python concepts such as variables, functions, conditionals, fruitful functions and iteration
      • Core concepts such as objects, inheritance, lists, stacks, queues, trees and debugging.
    • Features
      • Covers all fundamental elements of functional programming using python
      • Chapters are well structured and concise enough
      • Logical flow of concepts
    • Level: Beginner

    • Benefits
      • Simplified, beginner level book
      • Elaborate explanations
      • Covers basic Python syntax and concepts
    • Requirements: No prior knowledge of coding or Python required

    • Format: Ebook/Online
      • PDF
      • Postscript
      • Gzipped Rar
      • HTML
    • Rating: 3.8/5

    • Review:
      • “This text covers all fundamental elements of functional programming using python. Chapters are well structured and concise enough to be approached in an orderly fashion” - Alan Ford, Instructor, American University
    • Edition: 2nd Edition

    • The book is available here.

  2. A Byte of Python

    • Introduction

      A Byte of Python by C H Swaroop is written with the aim of guiding the beginner to an understanding of the Python programming language. The book begins with an introduction of Python and how it emerged as one of the most powerful languages in the programming world, before moving on to the description of Python concepts and describes them in detail. It also covers how the reader can continue the learning of Python, leaving the reader with problems to solve and apply the concepts of Python to real life applications.

    • Author’s Name: C H Swaroop

    • Cost: Free

    • What does the Book Cover?
      • Description of Python
      • Python concepts and describes them in detail along with examples at every step
      • Problems solving using Python
      • Testing Python code
    • Features
      • Easy to learn
      • Detailed description
    • Level: Beginner

    • Benefits
      • Explains concepts step by step
      • Gives several real life examples
    • Requirements: No prior programming knowledge necessary

    • Format: Online/PDF
      • PDF
      • ePub
      • Mobi
    • Rating: 3.6/5

    • Review:
      • “ Byte of Python, written by Swaroop. (this is the book I'm currently reading). Probably the best to start with, and probably the best in the world for every newbie or even a more experienced user.” -- Apostolos
    • Edition: 2nd Edition

    • The book is available here.

  3. The Coder's Apprentice: Learning Programming with Python 3

    • Introduction

      The Coder’s Apprentice: Learning Programming with Python 3 is a step by step guide to the principles and the fundamental concepts of Python and Object oriented programming. It is tailor made for the beginner in Python programming who has no previous knowledge of Computer Science, Coding or Python.

    • Author’s Name: Pieter Spronck

    • Cost: Free

    • What does the book cover?
      • Key concepts of Python
      • Improve understanding of Python
      • Step by step examples
    • Features
      • Lots of simple, step-by-step examples and illustrations are used for key concepts to help improve your understanding.
      • Each practice exercise builds on concepts discussed in previous chapters so your learning is reinforced as you progress.
      • Topics are carefully selected to give you a broad exposure to Python whilst not overwhelming you with too much (potentially unnecessary) information.
      • An end of chapter summary is presented to give you key takeaways that help you solidify your understanding
    • Level: Beginner

    • Benefits
      • A concise. Simple. Newby friendly style of teaching that lends itself well to beginners
      • Chapters that have been sliced into bite-size chunks to give you the information you need (at that point in time) so you're not overwhelmed
    • Requirements: No prior understanding of Python or programming required.

    • Format: eBook/Online
      • PDF
    • Rating: 4.5/5

    • Review
      • “An excellent guide to learning the Python programming language. There are all the necessary technical materials for learning Python 2 and 3, their differences, installing Python in Windows or Mac, Python functions, classes and objects in Python, a step-by-step programming guide using the Tkinter tutorial, writing quality codes and much more.”
    • Edition: 2nd Edition

    • The book is available here.

  4. Python for Everybody: Exploring Data in Python 3

    • Introduction

      Python for Everybody: Exploring Data in Python 3 by Charles Severance is an introduction into the world of Python programming and software development.

    • Author’s Name: Charles Severance

    • Cost: Free

    • What does the book cover?
      • Basic concepts of Python
      • Practical examples and applications
    • Features
      • Lots of exercises and examples
      • Projects given at the end of the book
    • Level: Beginner

    • Benefits
      • Offers step by step instruction to Python Programming
    • Requirements: No prior coding knowledge required

    • Format: eBook/Online
      • PDF
    • Rating: 4.5/5

    • Review:
      • “Good book for people without any programming experience or background. Very comprehensive with ample number of examples.”
    • Edition: 1st Edition

    • The book is available here.

  5. Natural Language Processing With Python Steven Bird, Ewan Klein, and Edward Loper

    • Introduction

      Natural Language Processing With Python, by Steven Bird, Ewan Klein, and Edward Loper gives the readers an introduction to Natural Language Processing, which is a concept that supports a variety of fields starting from Predictive texts and email filtering to automatic translation and summarization.

    • Author’s Name: Steven Bird, Ewan Klein, and Edward Loper

    • Cost: Free

    • What does the book cover?
      • Introduction to Natural Language Processing (NLP)
      • How to write Python programs that work with large collections of unstructured text
      • Access richly annotated datasets using a comprehensive range of linguistic data structures
      • Main algorithms for analyzing the content and structure of written communication    
    • Features:  Packed with examples and exercises

    • Level: Beginner

    • Benefits
      • Gives both theoretical and practical knowledge
      • Provides easy to understand tutorials and steps
    • Requirements
      • Curiosity about a programmer’s perspective on how the Human Language works.
    • Format: eBook/Online
      • PDF
    • Rating: 4.7/5

    • Review:

      “This is one of the most interesting programming books I have ever read, and it's so easy to jump right in and play with the NLTK. I have devoured this book. A lot of the code examples in the book no longer work as written, as the library has changed over the last eight years, but it is easy enough to Google the new way, and it is educational trying to figure out how to get things working that aren't well documented. Great book.”

    • Edition: First Edition

    • The book is available here.

  6. Python and Coding Theory

    • Introduction

      Python and Coding Theory by David Joyner is a note on Python and coding theory designed for students who have little or no programming experience. You will learn some of the Python computer programming language and selected topics in coding theory.

      Coding theory and cryptography are two well-known areas of information security as both are necessary for today's technology oriented, online-based world. Therefore, it will cover a broad selection of cryptography and coding theory topics including classical cryptography, DES and RSA algorithms, discrete logarithms, hash functions and error correcting codes - it is a guide on the basics of both cryptography and the Python programming language.

    • Author’s Name: David Joyner

    • What does the book cover?
      • Crash course in Python Programming basic
    • Format: eBook/Online
      • PDF
    • Rating: 4.8/5

    • Review: 

      “As a Python tutorial, it is superb - comprehensive, well organized and painless. Follow along with the exercises and you'll end up with a good working knowledge of the language. Each succeeding chapter introduces more and more complex and useful language constructs, each of which is identified in the accompanying text and clearly explained. Indeed, it is the use of constructs like lists and dictionaries that make Python the very valuable and powerful scripting tool that it is.
      As a Code Cracking tutorial, it is, as declared in the book sub-title, an "Introduction". You'll see how various algorithmic strategies can be used against comparatively simple ciphers. The techniques include frequency analysis, word pattern matching and dictionary tests for decrypted text.
      But the book is more about Learning Python than it is about Cracking Codes. Upon completing it you'll emerge a journeyman Python programmer and a novice cryptographer.”

    • Edition: 1st Edition

    • The book is available here.

  7. Learning Python

    • Introduction

      Learning Python by Fabrizio Romano begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned.

    • Author’s Name: Fabrizio Romano

    • Cost: Free

    • What does the book cover?
      • Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science.
    • Features
      • The book takes you all the way to creating a fully fledged application.
    • Level: Beginner

    • Benefits: From basics to the building of complex applications.

    • Requirements: No prior Python or coding experience required

    • Format: eBook/Online
      • PDF
      • ePub
    • Rating: 3.9/5

    • Review:

      “The book looks very promising but I ran into problems early on that I have been unable to work through yet. The book assumes that you have a working version of Python on your computer and it assumes that you have a certain set of libraries preloaded. My computer has both Python V2 and V3 loaded but there is a problem with the Python package manager which has been loaded. This is keeping me from adding the special libraries needed to follow the book. I expect that I will be able to work out the problems but it would have been easier if the book included the steps to do the initial load and configuration of Python instead of expecting it is already available.”

    • Edition: December 2015 edition

    • The book is available here.

  8. Fast Lane to Python

    • Introduction

      Fast Lane to Python by Norm Matloff is a book that aims to enable the reader to quickly acquire a Python foundation. The material particularly is apt for anyone with background in an object-oriented programming (OOP) language such as C++ or Java.

    • Author’s Name: Norm Matloff

    • Cost: Free

    • What does the book cover?
      • Covers all essentials of Python
      • Includes practical examples for beginners and includes tests & answers for the college exam, the engineer certification exam, and the job interview exam.
    • Features
      • Learn complete primary skills of Python fast and easily
    • Level: Beginner

    • Benefits
      • Elaborate explanations of concepts
      • Contains several examples and practical applications
    • Requirements: A background in an object-oriented programming (OOP) language such as C++ or Java is recommended

    • Format: eBook/Online
      • PDF
    • Rating: 4.4/5

    • Review:
      • “I'll say it is a good book, but only for programmers who need to switch from another platform.
      • If you are a novice to coding and want to start with Python (a great language and gateway to everything in the realm of computers) I'd suggest other publishing.”
    • Edition: 2nd Edition

    • The book is available here.

  9. Dive Into Python 3

    • Introduction

      Dive into Python 3 by Mark Pilgrim is a hands-on guide to Python 3 (the latest version of the Python language) and its differences from Python 2. As in the original book, Dive Into Python, each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end.

    • Author’s Name: Mark Pilgrim

    • Cost: Free

    • What does the book cover?
      • Example programs completely rewritten to illustrate powerful new concepts now available in Python 3: sets, iterators, generators, closures, comprehensions, and much more
      • A detailed case study of porting a major library from Python 2 to Python 3
      • A comprehensive appendix of all the syntactic and semantic changes in Python 3
    • Features
      • Explanations given in detail
      • Elaborate examples
    • Level: Beginner

    • Benefits: Good for programmers with no prior experience in Python programming

    • Requirements: Programmer (even without Python experience)

    • Format: eBook/Online
      • PDF
    • Rating: 3.5/5

    • Review:

      “This book is great if you're a programmer with no Python experience. If you are not a programmer this is probably not the book you are looking for (waves hand). Judging from the other reviews the print version seems to be pretty bad. I purchased the Kindle edition for 3 bucks. How can you go wrong? Even if you don't have a kindle, you can read it on Amazon's cloud reader, Kindle for PC or Kindle for Android for your phone or tablet. Anyway, this book gave me a basic understanding of the language in a matter of hours.”

    • Edition: 1st edition

    • The book is available here.

  10. Python 3 Basics Tutorial

    • Introduction

      Python 3 Basics Tutorial by Kristian Rother is the handy guidebook for beginners to completely create fully functional Python programmes on their own, within minutes.

    • Author’s Name: Kristian Rother

    • Cost: Free

    • What does the book cover?
      • Distilled best practices and tips
      • How interpreted languages work
      • Using basic types such as Strings, Integers, and Floats
      • Best practices for using the interpreter during development
      • The difference between mutable and immutable data
      • Sets, Lists, and Dictionaries, and when to use each
      • Gathering keyboard input
      • How to define a class
      • Looping constructs
      • Handling Exceptions in code
      • Slicing sequences
      • Creating modular code
      • Using libraries
      • Laying out code
      • Community prescribed conventions
    • Features
      • Easy to understand, step by step explanations
      • Ample examples
    • Level: Beginner

    • Benefits: Suited for beginners with a little background of Computer Science

    • Requirements
      • You have worked a little with a different programming language like R, MATLAB or C.
      • You have no programming experience at all
      • You know Python well and would like to teach others
      • This tutorial works best if you follow the chapters and exercises step by step.
    • Format: eBook/Online
      • PDF
    • Rating: 4.3/5

    • Review

      “This book is in the middle of the top tier of 40 Python books out there in terms of quality, but I'm giving it five stars because it is the best book for its audience -- people who have written over 1000 lines of the language and want to be conversant in it and understand its insides.
      Python is blessed with more good books than some languages, but there are still holes. One big one is for a book that takes somebody who knows coding and can get python to work but hasn't taken the leap to thinking pythonically. On one side of this gap are wonderful books such as O'Reilly's "Introducing Python", and the terrific books on the other side range from Luciano Ramalho's "Fluent Python" to Brett Slatkin's handy "Effective Python" or the career-starter books that clog the python book chain (happily) such as the Greenfields' "Two Scoops of Django" , Miller and Guido's "Introduction to Machine Learning with Python", or Percival's "Test Driven Development with Django and Python”

    • Edition: 2018 edition (Updates continuously)

    • The book is available here.
  1. Python Crash Course
  2. Automate the Boring Stuff with Python
  3. Doing Math with Python
  4. Python Crash Course: Beginning Programming with Python for Dummies with Cheatsheet- Kindle Edition
  5. Learn Python the Hard Way
  6. Head First Python
  7. Python Programming: An Introduction to Computer Science
  8. Python: A Beginners’ Guide to Python Programming to automate the boring tasks and learn coding fast
  1. Python Crash Course

    • Introduction

      The Python Crash Course is a book written by Eric Mathews. It is an elaborate, comprehensive and all inclusive book that offers beginners with an introduction to Python programming and moves on to teach the development of useful Python programs.

    • Author’s Name: Eric Matthews

    • Cost
      • Kindle edition: $ 21 in US and INR 1,531 in India
      • Paperback: $ 33 in US and INR 2,360 in India
    • What does the Book Cover?
      • Introduction to Python programming
      • Basic Concepts of Python Programming: Dictionaries, Lists, Loop. Classes etc
      • The working of a Python program
      • Development of clean and readable Python codes to create interactive programs
      • A practical approach to Python: Development of Projects, Arcade Game and simple Web Application.
    • Features
      • 9 hours on-demand video
      • 3 articles
      • 3 downloadable resources
      • 11 coding exercises
      • Full lifetime access
      • Access on mobile and TV
      • Certificate of Completion
    • Level: Beginner

    • Benefits
      • Build 11 Easy-to-Follow Python 3 Projects
      • Automate Coding Tasks By Building Custom Python Functions
      • Add Python 3 to your Resume by Understanding Object-Oriented Programming (OOP)
      • Use Variables to Track Data in Python Programs
      • Use Numbers to Create “Behind-the-Scenes” Functionality
      • Use Strings to Create Customized, Engaged User Experiences
      • Create Programs that can think using logic and data structures
      • Use Loops to Improve Efficiency, Save Time, Maximize Productivity
    • Requirements: No prior requirements

    • Format: eBook/Book
      • Kindle
      • Paperback
    • Rating: 4.25/5

    • Review: 

      “All of these projects are well thought out and presented in such a way that learning the subject matter and implementing it is much more an enjoyable pastime rather than an onerous task that must be completed. Eric took the time to deal with some rather complex projects and lay them out in a consistent, logical and pleasant manner that draws the reader into the subject willingly, which, unfortunately, many authors fail to do.” —Full Circle Magazine

    • Edition: Kindle Edition

    • The book is available here.

  2. Automate the Boring Stuff with Python

    • Introduction

      Automate the Boring Stuff with Python teaches a reader to write Python programs that aid in the automation of tasks and make life easier. It offers step by step instructions on developing each program, along with practice projects given at the end.

    • Author’s Name: Al Sweigart

    • Cost
      • Kindle Edition: $ 16 in US and INR 1,148 in India
      • Paperback: $ 22 in US and INR 1,548 in India
    • What does the Book Cover?
      • Basic concepts of Python
      • Development of basic Python programs
      • Development of Python programs that perform the work that takes you hours, in minutes
      • Master the basics and apply the concepts to develop programs that perform impressive feats of automation:
        • Search for text in a file or across multiple files
        • Create, update, move, and rename files and folders
        • Search the Web and download online content
        • Update and format data in Excel spreadsheets of any size
        • Split, merge, watermark, and encrypt PDFs
        • Send reminder emails and text notifications
        • Fill out online forms
    • Features
      • Step-by-step instructions walk you through each program
      • Practice projects at the end of each chapter challenge you to improve those programs
      • Lets you use your newfound skills to automate similar tasks.
    • Level: Beginner

    • Benefits
      • Master the basic concepts of Python
      • Reduce grunt work
      • Learn the development of automated programs and save time
    • Requirements: No prior programming experience required

    • Format: eBook/Book
      • Kindle
      • Paperback
    • Rating: 4.26/5

    • Review:

      "Do you need Automate the Boring Stuff with Python? Yes, if you want to enhance your workflow by using automation, this is an excellent place to start. Highly recommended."

    • Edition: 1st Edition, Kindle Edition

    • The book is available here

  3. Doing Math with Python

    • Introduction

      Doing Math with Python helps the reader understand how to make use of Python in order to delve into high school level math topics such as probability, statistics and geometry. Beginning with simple projects, the book goes into more complex projects once the reader has had sufficient practice.

    • Author’s Name: Amit Saha

    • Cost
      • Kindle edition: $ 16 in US and INR 1,148 in India
      • Paperback: $ 26 in US and INR 1,843 in India
    • What does the Book Cover?
      • Describe your data with statistics, and visualize it with line graphs, bar charts, and scatter plots
      • Explore set theory and probability with programs for coin flips, dicing, and other games of chance
      • Solve algebra problems using Python’s symbolic math functions
      • Draw geometric shapes and explore fractals like the Barnsley fern, the Sierpinski triangle, and the Mandelbrot set
      • Write programs to find derivatives and integrate functions
    • Features
      • Make use of Python and apply to mathematical concepts such as Geometry, Calculus, Probability and Statistics
      • Discover and explore new ways to learn and apply Math
      • Gain valuable programming skills
    • Level: Beginner

    • Benefits
      • Learn Python creatively
      • Apply knowledge to solve practical problems
      • Let Python handle the grunt work
      • Creative coding challenges
    • Requirements: No prior coding knowledge required

    • Format: eBook/Book
      • Kindle
      • Paperback
    • Review:

      "Saha does an excellent job providing a clear link between Python and upper level math concepts and demonstrates how Python can be transformed into a mathematical stage. This book deserves a spot on every geometry teacher’s bookshelf."

    • Edition: 1st Edition, Kindle Edition

    • The book is available here.

  4. Python Crash Course: Beginning Programming with Python for Dummies with Cheatsheet- Kindle Edition

    • Introduction

      If you have no prior experience of coding in Python or even if you have no prior experience of coding at all, you have come to the right place. With this book, you are taught Python in a manner that is very easy and simple to understand for a beginner. This is a book that is perfect for people who are completely new to the Programming world.

    • Author’s Name: Alexis Jordan

    • Cost
      • $ 4 in US and INR 285 in India
    • What does the Book Cover?
      • Basic Programming concepts such as lists, dictionaries, classes, and loops
      • Practice of writing clean and readable code with exercises for each topic
      • Learn how to make your programs interactive
      • Testing of the code
      • Apply the knowledge gained to three projects: a Space Invaders–inspired arcade game, data visualizations with Python’s super-handy libraries, and a simple web app you can deploy online.
    • Features
      • Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal
      • Work with data to generate interactive visualizations
      • Create and customize Web apps and deploy them safely online
      • Deal with mistakes and errors so you can solve your own programming problems
    • Level: Beginner

    • Benefits
      • Learn basic Python programming concepts
      • Learn real world application of Python concepts
    • Requirements: No prior coding experience required

    • Format: eBook
      • Kindle
    • Rating: 4.1/5

    • Review
      • “I don't always give 5 stars, but when I do, it's for real. Stay coding my friends! Actually, I'm only about half way through the book, but I felt I had to do the review now. After dumping MicroShaft and getting into Linux, I could no longer use VisualBASIC; I had to choose another language and it came down to "C" or Python. I chose Python because I wanted to do some real work without trudging through a 3 year learning curve. Python is, as they say, easy to pick up, especially if you have prior coding experience”

    • Edition: Kindle Edition

    • The book is available here.

  5. Learn Python the Hard Way

    • Introduction

      Learn Python the Hard Way, written by Zed A. Shaw is a perfect combination of 52 exercises which forces you to read the Python code and type it precisely. Once this is done, you have to then fix the mistakes in the code and make the program run. This book is the complete guide for a Python beginner.

    • Author’s Name: Zed A. Shaw

    • Cost
      • Kindle Edition: $9 in US and INR 653 in India
      • Paperback: $32 in US and INR 2,282 in India
    • What does the Book Cover?
      • Steps to help you install a complete Python environment, which helps you in writing optimized code.
      • Discussion of various topics such as basic mathematics, variables, strings, files, loops, program design, and data structures among many others.
    • Features
      • Learn Python from the crux of the language
      • A lengthy, but very effective methodology followed for learning Python
    • Level: Beginner

    • Benefits
      • Ideal for Beginners who wish to learn Python programming through the crux of the language
    • Requirements: No prior coding experience required

    • Format: eBook/Book
      • Kindle
      • Paperback
    • Rating: 4.08/5

    • Review:

      “Python is a great language choice for someone beginning to learn computer programming. Learning Python means you can hack on your Raspberry Pi, contribute to OpenStack, or do just about anything else in between. Learn Python the Hard Way by Zed A. Shaw is an excellent learning resource for the beginning Python programmer. Don't be turned off by the "hard way" bit; the book's exercises are well thought out and pedagogically sound. In fact, doing things the "hard way" will actually make you a better programmer in the end.”- Opensource.com

    • Edition: 3rd Edition

    • The book is available here.

  6. Head First Python

    • Introduction

      Head First Python, written by Paul Barry is one of the most efficient ways of learning Python, without having to aimlessly slog your way through how-to manuals. This book enables you to quickly understand the fundamental concepts of Python, work with the built in functions and libraries and build complex programs of your own.

    • Author’s Name: Paul Barry

    • Cost
      • Kindle Edition: $ 13 in US and INR 902 in India
      • Paperback: $ 24 in US and INR 1,700 in India
    • What does the Book Cover?
      • Basic fundamentals of Python
      • Working with built in functions and libraries
      • Building complex python programs
      • Applying knowledge gained to real life applications
    • Features
      • Teaches from the basics
      • Helps readers build web applications, exception handling as well as explore database management.
    • Level: Beginner

    • Benefits
      • Simply, easy to follow instructions
      • Elaborate descriptions
      • Practical approach to learning Python
    • Requirements: No prior knowledge of Python or coding required.

    • Format: eBook/Book
      • Kindle
      • Paperback
    • Rating: 3.8/5

    • Review: Best "Your First Python Book" - A.nand

    • Edition: 2nd edition

    • The book is available here.

  7. Python Programming: An Introduction to Computer Science

    • Introduction

      Python Programming: An Introduction to Computer Science (3rd Edition) is like an introduction to the art of programming. It introduces the reader to the concepts of Computer Science, Programming and several other concepts - all of which is done with the use of Python.

    • Author’s Name: John Zelle

    • Cost: $ 35 in US and INR 2,500 in India

    • What does the Book Cover?
      • An introduction to the art of programming
      • Concepts of Computer Science, Programming and several other concepts through the use of Python
    • Features
      • Takes a fairly traditional approach
      • Emphasizes on problem solving, design, and programming as the core skills of computer science.
      • However, these ideas are illustrated using a non-traditional language, namely Python.
      • Although Python is used as the language, teaching Python is not the main point of this book. Rather, Python is used to illustrate fundamental principles of design and programming that apply in any language or computing environment
    • Level: Beginner

    • Benefits
      • Style is most suited for beginners
      • Easy to read and understand
    • Requirements: No prior knowledge of coding or Python required

    • Format: Paperback

    • Rating: 3.8/5

    • Review 

      “I'm really only a few chapters in so far, but I felt the need to express my unanswered frustrations and how this book answered them.
      I've always wanted to learn computer programming since I was a kid, back in the days when computers were the scary things they had in school libraries that adults were scared of getting too close to. I even bought a book on C when I was young enough to only require one digit in my age, and I didn't even own a computer and probably had only used one a few dozen times. I have throughout my life bought, attempted to learn, and failed miserably at learning programming many times. Each time I get terribly stuck and confused. I curse the writers of these books who advertise "programming for the absolute beginner" who I seem so disconnected to. I figured it was me, that maybe I wasn't smart enough, or that for some reason I just could never learn how to do cool stuff with a computer. In my most recent spate I bought another book on computer programming - also on Python. While I did learn to do some stuff, there was still this weird disconnect.”

    • Edition: Third Edition

    • The book is available here.

  8. Python: A Beginners’ Guide to Python Programming to automate the boring tasks and learn coding fast

    • Introduction

      At some point or the other, every computer programmer looks to develop a Computer Program of his own. The most obvious programming language of choice for this task is usually the Python programming language. However, many programmers are deterred by the fact that computer programming seems like a scary task. With Python: A Beginners’ Guide to Python Programming to automate the boring tasks and learn coding fast, the author takes the reader through a very easy path to learning Python, without making it scary at all.

    • Author’s Name: John Slavio

    • Cost
      • Kindle Edition: $ 6 in US and INR 404 in India
      • Paperback: $ 60 in US and INR 4,270.26 in India
    • What does the book cover?
      • Installing Python on various platforms
      • First Steps - Using Interpreters, Editors and Source Files
      • Python Basic Commands
      • Operations in Python
      • Control Flow Statements - IF THEN Statement
      • File Storage in Python
      • 3 Sample Programs to Practise
    • Features
      • Step by step process to learning python
      • Takes the reader from the basic to the most complex Python problems
      • Includes real life application of knowledge
    • Level: Beginner

    • Benefits
      • Takes the reader from the basic to the most advanced Python concepts
      • Provides ample practice
    • Requirements: No prior coding experience required

    • Format: eBook/Book

    • Rating: 3.5/5

    • Review

      “Great beginners book for those who want to start learning python programming. explained in very well manner, only very basic but its good start. Sample examples given at end for readers. Recommend for people who want to know about how good and easy python programming is.”

    • Edition: Kindle Edition

    • The book is available here.
  1. Python Deep Learning
  2. The Hitchhiker's Guide to Python: Best Practices for Development
  3. Python Notes from Professionals
  4. Python Data Science Handbook: Essential Tools for Working with Data
  5. 20 Python Libraries You Aren't Using (But Should)
  6. Artificial Intelligence with Python
  7. Python Web Frameworks
  8. Hadoop with Python
  9. Functional Programming in Python
  10. How to Make Mistakes in Python?
  1. Python Deep Learning

    • Introduction

      Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python. Python Deep Learning will give you all the practical information available on the subject, including the best practices, using real-world use cases. You will learn to recognize and extract information to increase predictive accuracy and optimize results.

    • Author’s Name: Valentino Zocca

    • Cost: Free

    • What does the book cover?
      • Quick recap of important machine learning concepts
      • Deep learning principles using Scikit learn
      • Learn to use the latest open source libraries such as Theano, Keras, Google's TensorFlow, and H20
      • Uncover the difficulties of pattern recognition, scaling data with greater accuracy and discussing deep learning algorithms and techniques.
    • Features
      • Get a practical deep dive into deep learning algorithms
      • Explore deep learning further with Theano, Caffe, Keras, and TensorFlow
      • Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders and Restricted Boltzmann Machines
      • Dive into Deep Belief Nets and Deep Neural Networks
    • Level: Intermediate to Advanced

    • Benefits
      • Learn the use of powerful Python libraries
      • Deep learning techniques explained in detail and in an easy to understand manner
    • Requirements: Prior knowledge of Python and Machine Learning algorithms

    • Format: Online
      • PDF
    • Rating: 3.9/5

    • Review 

      “As an experienced programmer and some familiarity with Python I found this book to reveal a large array of topics spanning from machine learning to deep learning fundamentals including TensorFlow examples! This is a great resource for anyone looking to gain conceptual aspects of data science as well as some practical, production ready techniques. Highly recommend.”

    • Edition: 2nd Edition

    • The book is available here.

  2. The Hitchhiker's Guide to Python: Best Practices for Development

    • Introduction

      The Hitchhiker's Guide to Python: Best Practices for Development describes best practices currently used by package and application developers.

    • Author’s Name: Kenneth Reitz, Tanya Schlusser
    • Cost: Free
    • What does the book cover?
      • Unlike other books for this audience, The Hitchhiker's Guide is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.
    • Features
      • Describes best practices currently used by package and application developers
    • Level: Intermediate to Advanced
    • Benefits
      • Curated by over a hundred members of the Python community
    • Requirements
      • Prior knowledge of Python and programming concepts is a prerequisite.
    • Format: Online
      • HTML
      • PDF
    • Rating: 3.7/5
    • Review
      • “This is an outstanding book. It doesn't try to teach you Python---it assumes you're already familiar with it---but puts together a lot of information on how, when, and where to use Python, with what complementary tools, in what different contexts. Running efficiency, coding efficiency, portability, interfacing to other programs. Choices of editor and/or Integrating Development Environment. Platform-dependent issues. Debugging. Packaging and distributing. Documenting. You name it.
      • I learned a lot of things, especially things I didn't even know I didn't know---and found very useful to know.
      • There are excellent links to all the resources mentioned.
      • If you like to write programs that go out into the world and present themselves in a professional way BECAUSE they are professionally conceived and implemented, you'll want to have this book.”
    • Edition: 1st Edition

    • The book is available here.

  3. Python Notes from Professionals

    • Introduction

      Python Notes from Professionals is a one of a kind, unique reference book aimed at intermediate to advanced level Python enthusiasts. The Python programming language was created and is appreciated for its simplicity, effectiveness and readability. Now more than 25 years old, Python has become the primary or secondary language (after SQL) for many business users and is being increasingly used for many real world business applications, which is how this book came into being.

    • Author’s Name: Brett Slatkin

    • Cost: Free

    • What does the book cover?
      • Goes beyond the basics to teach intermediate and  advanced level Python programmers
      • Teaches little known tools and constructs that build concise, maintainable code
      • Designing better architecture and writing easy-to-understand code using highly adoptable techniques that result in more robust and efficient applications
    • Features
      • Compiled by the best in class and experienced developers at StackOverFlow
    • Level: Intermediate to advanced

    • Benefits
      • Get the best tips from the most updated and practising experts of Python from around the the world in one simple, easy to read handbook.
    • Requirements
      • Proper knowledge and ample experience of coding and Python as a programming language.
    • Format: Online

    • Rating: 4.3/5

    • Review

      “If I had this book when I first switched from Java to Python, it would have saved me many months of repeated code rewrites, which happened each time I realized I was doing particular things ‘non-Pythonically.’ This book collects the vast majority of basic Python ‘must-knows’ into one place, eliminating the need to stumble upon them one-by-one over the course of months or years. The scope of the book is impressive, starting with the importance of PEP8 as well as that of major Python idioms, then reaching through function, method and class design, effective standard library use, quality API design, testing, and performance measurement–this book really has it all. A fantastic introduction to what it really means to be a Python programmer for both the novice and the experienced developer.” –Mike Bayer, creator of SQLAlchemy

    • Edition: 1st Edition

    • The book is available here.

  4. Python Data Science Handbook: Essential Tools for Working with Data

    • Introduction

      Python Data Science Handbook: Essential Tools for Working with Data by Jake VanderPlas is a must have reference book for scientific computing with the use of the Python programming language, Data crunchers and data scientists who are familiar with reading and writing Python codes are bound to find this book to be a comprehensive and go-to desk reference book that is ideal in helping them tackle the day to day problems that they face while working with data in their professional lives. Ways of manipulation, transformation and cleaning of data are given in the book, apart from methods of the visualisation of different types of data and the ways to make use of data in building several machine learning or statistical models.

    • Author’s Name:  Jake VanderPlas

    • Cost: Free

    • What does the book cover?
      • IPython and Jupyter: provide computational environments for data scientists using Python
      • NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in PythonPandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python
      • Matplotlib: includes capabilities for a flexible range of data visualizations in Python
      • Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
      • Use statistical inference to answer questions about real-world data
    • Features
      • Comprehensive reference for working data scientists and machine learning professionals.
    • Level: Advanced

    • Benefits
      • Handy book for data scientist and machine learners to solve problems encountered during development.
    • Requirements: Prior knowledge of theoretical as well as applied Python concepts is a must

    • Format: Online

    • Rating: 4.6/5

    • Review

      “I am currently taking a Machine Learning course from Udacity and this book has proven to be a great reference guide for several projects and quizzes. Although it does not go in depth in regards to machine learning (although almost half of the book is dedicated to it), it does give an understanding of essential concepts. For those interested in machine learning I would recommend buying "Hands-On Machine Learning with Scikit-Learn and TensorFlow" by Geron as well as this book.
      There is no one book for data science, and this one is no exception. Just keep that in mind before buying it.
      Other than that, I am really happy with my purchase.”

    • Edition: 1st Edition

    • The book is available here.

  5. 20 Python Libraries You Aren't Using (But Should)

    • Introduction

      20 Python Libraries You Aren't Using (But Should) penned by Caleb Hattingh is an effort that helps experienced Python developers and programmers explore some of the lesser known yet highly useful Python tools and libraries that are bound to make their work easier.

    • Author’s Name: Caleb Hattingh

    • Cost: Free

    • What does the book cover?
      • Third-party modules and several extremely useful tools in the standard library that deserve more attention
      • Little-known standard library modules: collections, contextlib, concurrent.futures, logging, and sched
      • Flit for simplifying the process of submitting a Python package to the Python Package Index (PyPI)
      • Colorama and begins for making your command-line applications friendlier for users
      • Pyqtgraph and pywebview for creating graphical user interfaces (GUIs)
      • Watchdog, psutil, and ptpython for working closely with the operating system
      • Hug for exposing APIs for other users' programs to consume
      • Arrow and parsedatetime for working with dates and times
      • Third-party general-purpose libraries: Boltons, Cython, and the awesome-python curated list
    • Features
      • Features some of the little known tools, modules and libraries that are explained in a clear yet concise manner, suited to a reasonably seasoned Python programmer.
    • Level: Intermediate to Advanced

    • Benefits
      • Discover hidden gems that are easy to install and use, cross-platform, applicable to more than one domain, and not yet popular but likely to become so soon.
    • Format: eBook/Online
      • ePub
      • Mobi (Kindle)
      • HTML
      • PDF
    • Rating: 3.6/5

    • Review

      “So glad to finally get my hands on a Python 3 version of this book. It is extremely thorough with the chapters organized by "goal" (text manipulation, HTTP communication, time/date manipulation) covering all aspects of the Python 3 standard libraries.
      It is a great educational tool for developers new to the language still building their skillset and a must have desktop reference for even experienced Python developers.
      I own many books on Python but this is the only one that covers the standard library so thoroughly. It is a real gem.”

    • Edition: 1st Edition

    • The book is available here.

  6. Artificial Intelligence with Python

    • Introduction

      Artificial Intelligence with Python by Prateek Joshi is a book for Python developers who wish to build real-world Artificial Intelligence applications.

    • Author’s Name: Prateek Joshi

    • Cost: Free

    • What does the book cover?
      • Basics of Artificial Intelligence
      • Development of building blocks using data mining techniques. Discover how to make informed decisions about which algorithms to use, and how to apply them to real-world scenarios.
    • Features
      • Step into the amazing world of intelligent apps using this comprehensive guide
      • Enter the world of Artificial Intelligence, explore it, and create your own applications
      • Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time
    • Level: Intermediate to Advanced

    • Benefits: Practical book covers a range of topics including predictive analytics and deep learning

    • Requirements: Some prior experience of coding

    • Format: Online

    • Rating: 3.6/5

    • Review

      “This is just a python code reference book which describes how to code standard machine learning algorithms in Python. Be warned that if you wish to learn true concepts behind those machine learning algorithms, please check elsewhere. For a novice in this field I do not recommend this book to anyone at any cost. But if you are someone, who has mastered fundamentals of ML in another language such as "R" then this will be a decent reference book to apply that knowledge in Python. Please be note that even for that purpose u may still find many better alternatives than this book, in places like Udemy, Coursera.”

    • Edition: January 2017 Edition

    • The book is available here.

  7. Python Web Frameworks

    • Introduction

      Python Web Frameworks by Carlos De La Guardia is a guide that not only gives the readers pointers in order to help them choose the frameworks that are most suited for meeting the needs of the developer, as well as ways to help them learn how to create frameworks of their own. The book also includes explanations of Python web frameworks that range from full stack options that offer a humongous amount of functionality to micro frameworks that focus on simplicity and offer fewer features.

    • Author’s Name: Carlos De La Guardia

    • Cost: Free

    • What does the book cover?
      • Take a tour of Python frameworks, from Appier, Cyclone, and Fantastico to Grok, Muffin, and Twisted
      • Dive into details on the top six Python frameworks—Django, Flask, Tornado, Bottle, Pyramid, and CherryPy
      • Review code examples, testing capabilities, best uses, and ways to get started with each of the top six
      • Learn Python’s building blocks for creating your own framework, and explore why you’d want to pursue this option
    • Features
      • 30 frameworks that have more than 1,000 monthly downloads and a deeper look into six of the most widely used ones
    • Level: Intermediate to Advanced

    • Benefits
      • Step by step introduction to topics
      • Several real life applications and examples
    • Requirements: Prior knowledge of fundamentals of Python and real life applications of basic Python algorithms

    • Format: eBook/Online
      • ePub
      • PDF
      • Mobi (Kindle)
    • Rating: 4.5/5

    • Review

      “As a newbie to Flask, I was struggling to find any complete tutorials that would get me from beginner all the way up to the point where I could develop entire apps on my own. I came across several excellent posts on Flask on Miguel's blog, and then got the book to fill in the gaps.
      Miguel does a great job of setting up the environment right from the start (explaining virtualenv and project structure, things often overlooked in the community).
      Feedback:
      Using the single example throughout the book is cumbersome. I was truly hoping that you'd switch to a new example in Chapter 7 when we got to Large Application Structure. It's not that the example isn't great, it's just that when you're reading the book over multiple sessions, you tend to forget some of the things covered earlier in the book -- and then a cycle of uncertainty continues to play in the back of your mind .. and eventually reaches a point where you throw your hands in the air, and start the book over. I did that 3 times before the book was finally done. Perhaps using multiple smaller examples might make it easier to grasp.
      The book is great, and I've already added it as recommended reading to any developer that joins our company.”

    • Edition: 1st Edition

    • The book is available here.

  8. Hadoop with Python

    • Introduction

      In this book you'll learn how to use Python with the Hadoop Distributed File System (HDFS), MapReduce, the Apache Pig platform and Pig Latin script, and the Apache Spark cluster-computing framework.

    • Author’s Name: Zachary Radtka and Donald Miner

    • Cost: Free

    • What does the book cover?
      • Use the Python library Snakebite to access HDFS programmatically from within Python applications
      • Write MapReduce jobs in Python with mrjob, the Python MapReduce library
      • Extend Pig Latin with user-defined functions (UDFs) in Python
      • Use the Spark Python API (PySpark) to write Spark programs with Python
      • Learn how to use the Luigi Python workflow scheduler to manage MapReduce jobs and Pig scripts
    • Level: Advanced

    • Benefits
      • Step by step guide
      • Detailed explanation of concepts
    • Requirements: Python coding and theoretical knowledge required

    • Format: Online
      • ePub
      • PDF
    • Rating: 2.5/5

    • Review

      “The book is short, and barely touches big data. There's little content, which doesn't cover much more than what you can read in quick intro guides to any of the 3 mentioned technologies. Almost 20% of the book contains ads and links to author's online courses and books in other stores. I'm Kindle user for 8 years, and thanks to this book I have an opportunity to learn how Amazon refunds work.”

    • Edition: 2016 Edition

    • The book is available here.

  9. Functional Programming in Python

    • Introduction

      Functional Programming in Python by David Mertz is a book that describes the ways in which a developer can avoid the imperative style flow control of Python, explains the uses of higher order functions, the nuances of callable as well as ways to work lazily and effectively with the use of iterators. Functional programming in Python also gives a list of numerous third party Python libraries that have been proven to be useful for functional programming in Python.

    • Author’s Name: David Mertz

    • Cost: Free

    • What does the book cover?
      • Using encapsulation and other means to describe "what" a data collection consists of, rather than "how" to construct a data collection
      • Creating callables with named functions, lambdas, closures, methods of classes, and multiple dispatch
      • Using the Python iterator protocol to accomplish the same effect as a lazy data structure
      • Creating higher-order functions that take functions as arguments and/or produce a function as a result
    • Features
      • Implement common functional programming design patterns and techniques in Python
      • Learn how to choose between imperative and functional approaches based on expressiveness, clarity, and performance
      • Apply functional Python to common Exploratory Data Analysis (EDA) programming problems
    • Level: Intermediate

    • Benefits
      • Easy to understand language
      • Smooth workflows
    • Requirements: Some basic knowledge of Python and Object oriented programming is a prerequisite

    • Format: eBook/Online
      • ePub
      • Mobi (Kindle)
      • PDF
    • Rating: 3.9/5

    • Review
      • “Very repetitive and boring to read, code samples aren't formatted using PEP-8 style guide, therefore hard to read.
        In general as an advanced pythonista, i didn't find a lot of new things for me from this book neither from functional paradigm perspective, nor from python specific optimizations.
        Personally, I'd recommend a proper, purely functional book and python specific one separately (e.g. Fluent Python).”
    • Edition: 1st edition

    • The book is available here.

  10. How to Make Mistakes in Python?

    • Introduction

      Even the best programmers make mistakes, and experienced programmer Mike Pirnat has made his share during 15+ years working with the Python programming language. Some of these mistakes are silly and simple, while  others turn out to be downright expensive and embarrassing. In this book titled How to Make Mistakes in Python, the author dissects some of his most memorable blunders and peels them back layer by layer, so as to reveal to the reader exactly what went wrong, how to correct them and prevent the repetition of these mistakes.

    • Author’s Name: Mike Pirnat

    • Cost: Free

    • What does the book cover?
      • Setup: the ills of an incautiously prepared environment
      • Silly things: trivial mistakes that waste a disproportionate amount of energy
      • Style: poor stylistic decisions that impede readability
      • Structure: assembling code in ways that make change more difficult
      • Surprises: those shocking mysteries that only time can turn from OMG to LOL
    • Features
      • Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal
      • Make 2D games that respond to key presses and mouse clicks, and that grow more difficult as the game progresses
      • Work with data to generate interactive visualizations
      • Create and customize Web apps and deploy them safely online
      • Deal with mistakes and errors so you can solve your own programming problems
    • Level: Intermediate to advanced

    • Benefits: Engaging, fun to read and helpful read

    • Requirements: Basic knowledge of theoretical as well as applied Python.

    • Format: eBook/Online
      • ePub
      • PDF
      • Mobi (Kindle)
    • Rating: 4.6/5

    • Review

      “This book is a life-saver! I'm taking programming courses to complete a teaching authorization in computer science and this book is 10x better than the required text. Each programming concept is explained well and followed by a chunk of code that has a line-by-line narrative explanation of what the code does. At the end of each section, there are "Try It Yourself" mini-projects to apply your learning. They can take anywhere from 5-45 minutes to complete but they are perfect for checking your own understanding of each concept. If/when I teach an Intro to Python course, this will be MY required text!”

    • Edition: 1st Edition

    • The book is available here.
  1. Python Cookbook: Recipes for Mastering Python 3
  2. Introduction to Machine Learning with Python: A Guide for Data Scientists
  3. Fluent Python: Clear, Concise, and Effective Programming
  4. Programming Python: Powerful Object-Oriented Programming
  5. Python Tricks: A Buffet of Awesome Python Features
  6. Effective Python: 59 Ways to Write Better Python
  7. Grokking Algorithms: An illustrated guide for programmers and other curious people, by Aditya Bhargava
  8. Treading on Python: Volume 2
  9. Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visualization
  1. Python Cookbook: Recipes for Mastering Python 3

    • Introduction

      Python Cookbook: Recipes for Mastering Python 3 by David Beazley and Brian K. Jones is a book that will help you master the skills of Python programming. It is like a cookbook filled with recipes that are tried and tested in Python 3.3 and is a ticket for intermediate to Advanced level Python programmers to learn complex tools and applications, rather than simply covering the basic concepts and problems of standard coding.

    • Author’s Name: David Beazley and Brian K. Jones

    • Cost
      • Kindle Edition: $ 8 in US and INR 554.40 in India
      • Paperback: $ 19 in US and INR 1,350 in India
    • What does the book cover?
      • Data Structures and Algorithms
      • Strings and Text
      • Numbers, Dates, and Times
      • Iterators and Generators
      • Files and I/OData
      • Encoding and Processing
      • Functions
      • Classes and Objects
      • Metaprogramming
      • Modules and Packages
      • Network and Web Programming
      • Concurrency
      • Utility Scripting and System Administration
      • Testing, Debugging, and Exceptions
      • C Extensions
    • Features
      • Practical recipes written and tested with Python 3.3
      • Code samples you can use in your projects right away, along with a discussion about how and why the solution works.
    • Level: Intermediate to Advanced

    • Benefits
      • Complete recipes for more than a dozen topics
      • Core Python language as well as tasks common to a wide variety of application domains
      • Each recipe contains code samples you can use in your projects right away, along with a discussion about how and why the solution works.
    • Requirements
      • Some prior knowledge of Computer Science
      • Basic knowledge of fundamental concepts of Python
    • Format: eBook/Book
      • Kindle
      • Paperback
    • Rating: 4.8/5

    • Review

      “This book is marvellous. With some prior knowledge of Computer Science and Python, it is a joy to read. I learnt a ton of new things - especially in network and web programming, concurrency and metaprogramming. Of course, the book has a lot more to offer. Looking forward to the author's next book.”

    • Edition: 3rd Edition

    • The book is available here.

  2. Introduction to Machine Learning with Python: A Guide for Data Scientists

    • Introduction

      Introduction to Machine Learning with Python: A Guide for Data Scientists” by Andreas C. Müller and Sarah Guido is a guide for Data Scientists to introduce them to the world of Machine Learning. It teaches you to make use of Python in order to build your own Machine Learning tools and algorithms.
    • Author’s Name: Andreas C. Müller and Sarah Guido

    • Cost
      • Kindle Edition: $ 16 in US and INR 1,140 in India
      • Paperback: $ 41 in US and INR 2,913 in India
    • What does the book cover?
      • Introduction to the fundamental concepts and uses of machine learning
      • Pros and cons of popular machine learning algorithms
      • Advanced methods for model evaluation
      • Concept of pipelines, which is used for encapsulating your workflow and chaining models
      • Suggestions to help you improve your data science skills.
    • Features
      • Steps required to create a rich machine-learning application using Python and scikit-learn library
    • Level: Advanced

    • Benefits
      • Contains several code snippets
      • Launches into the world of Machine Learning at a convenient yet engaging pace.
    • Requirements: Some prior experience with Python and coding

    • Format: eBook/Book
      • Kindle 
      • Paperback
    • Rating: 3.7/5

    • Review

      “Nice Book. Exactly this is what you require to get you started on machine learning. Even after reading multiple theory books and watching Andrew's machine learning videos for nearly one year, I was not knowing how to actually put my knowledge into practice. After reading this book only, I was able to create ML models on my own and got a bit more comfortable in ML area. Trust me you don't need a masters to read and understand this book, but a bit of Python knowledge helps.”

    • Edition: 1st Edition

    • The book is available here.

  3. Fluent Python: Clear, Concise, and Effective Programming

    • Introduction

      Fluent Python: Clear, Concise, and Effective Programming” by Luciano Ramalho is a hands-on guide for intermediate to advanced level programmers for writing effective and efficient Python code, by covering some of the less used but most effective features of the Python programming language.

    • Author’s Name: Luciano Ramalho

    • Cost
      • Kindle Edition: $ 8 in US and INR 596.40 in India
      • Paperback: $ 28 in US and INR 2,027 in India
    • What does the book cover?
      • Python data model: understand how special methods are the key to the consistent behavior of objects
      • Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age
      • Functions as objects: view Python functions as first-class objects, and understand how this affects popular design patterns
      • Object-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritance
      • Control flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packages
      • Metaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work
    • Features
      • Advanced Python programmers will learn about Python 3 and how to become proficient in this version of the language
    • Level: Advanced

    • Benefits: Teaches clear, concise and effective programming with Python

    • Requirements: Ample knowledge about the basic and fundamental concepts of Python.

    • Format: eBook/Book
      • Kindle
      • Paperback
    • Rating: 4.7/5

    • Review

      “I have more than 4 years of experience in Python and I bought this book to help me increase my skill set in Python. This book is only targeted for developers who have experience in Python as it tells the story behind different Python modules and how and when to use them. It covers lots of interesting aspects of Python. I will definitely recommend it for Python developers.”

    • Edition: 1st Edition

    • The book is available here.

  4. Programming Python: Powerful Object-Oriented Programming

    • Introduction

      Programming Python: Powerful Object-Oriented Programming by Mark Lutz is the ideal guide for programmers who have a basic understanding of the fundamentals of Python programming and are ready to launch themselves into the world of real applications of Python.

    • Author’s Name: Mark Lutz

    • Cost
      • Kindle Edition: $ 21 in US and INR 1,491 in India
      • Paperback: $ 65 in US and INR 4,654 in India
    • What does the book cover?
      • In-depth tutorials on various application domains of Python, such as GUIs, the Web and system administration
      • Discusses how the language is used in databases, text processing, front-end scripting layers, networking and much more
      • Commonly used tools, language syntax, and programming techniques
      • Filled with many examples that show the correct usage and common idioms
      • Digs into the language as a software development tool, along with multiple examples illustrated particularly for that purpose.
    • Features
      • In-depth tutorials on the language's primary application domains: system administration, GUIs, and the Web
    • Level: Intermediate to Advanced

    • Benefits
      • Lots of examples 
      • Delves into the language as a software development tool
      • Powerful Object oriented programming
    • Requirements: Prior knowledge of Object oriented programming and coding in Python

    • Format: eBook/Book
      • Kindle
      • Paperback
    • Rating: 4/5

    • Review

      “If you've read beginner-level books and have a decent grasp of the Python basics, this is probably the next book that you're looking for. I spent hours trying to find a decent text to figure out things like tkinter (most of the web resources are outdated), which is really how I came across this title in the first place, but it covers a lot of the other "in-between" subject matter as well. The author does well with comments and explanations. Kindle formatting has been easy to read and follow.”

    • Edition: 4th Edition

    • The book is available here.

  5. Python Tricks: A Buffet of Awesome Python Features

    • Introduction

      Python Tricks: A Buffet of Awesome Python Features written by Dan Bader is a book that explores the lesser known features and best practices of the Python programming language, thus becoming a handy tool for experienced Python Developers.

    • Author’s Name: Dan Bader

    • Cost
      • Kindle Edition: $ 5 in US and INR 348 in India
      • Paperback: $ 6 in US and INR 456 in India
    • What does the book cover?
      • Patterns for Cleaner Python
      • Effective Functions
      • Classes & OOP
      • Common Data Structures in Python
      • Looping & Iteration
      • Dictionary Tricks
      • Pythonic Productivity Techniques
    • Features
      • Each subsection contains a self-contained topic, with a brief introduction, examples, discussion, and list of key takeaways.
      • 12 bonus videos available if the ebook is purchased
    • Level: Intermediate to Advanced

    • Benefits: The reader can jump into whichever section appeals to him/her the most

    • Requirements: Prior knowledge of basic Python concepts and their implementations is required.

    • Format: eBook/Book
      • Kindle
      • Paperback
    • Rating: 4.4/5

    • Review

      “I subscribed to Dan bader's tips & tricks mail and came across this book. I got my copy today, but I just can't stop from reviewing. Already the mail subscription tricks amaze me about Python.
      I also have 'Head first Python' copy but I never used it yet. The book doesn't make me feel to read, but Dan's book is much like a novel. The font is so attractive and no doubt the content, I just glanced through it the topic heading themselves bring me the confident that this is the book every python developer should have.
      Learn basics online , switch to the Dan's Python novel, it's a beauty. I also follow his youtube channel , every content is worth watching.
      I am grateful to him :)”

    • Edition: 1st Edition

    • The book is available here.

  6. Effective Python: 59 Ways to Write Better Python

    • Introduction

      Effective Python: 59 Ways to Write Better Python is a collection of 59 independent articles that build on a basic understanding of Python to teach Pythonic best practices, lesser known functionality, and built-in tools. Each article is a combination of example code, discussion, and a list of things to remember and is a great tool for programmers who have a basic understanding of the concepts and fundamentals of Python.

    • Author’s Name: Brett Slatkin

    • Cost
      • Kindle Edition: $ 5.3 in US and INR 378.10 in India
      • Paperback: $ 32 in US and INR 2,292 in India
    • What does the book cover?
      • Pythonic Thinking: introduces the best ways to perform common tasks, while taking advantage of how Python is implemented
      • Functions: clarifies nuanced differences of Python functions and outlines how to use functions to clarify intention, promote reuse, and reduce bugs
      • Classes and Inheritance: outlines the best practices when working with Python classes
      • Metaclasses and Attributes: illuminates the somewhat mysterious topic of metaclasses, teaching you how to use them to create intuitive functionality
      • Concurrency and Parallelism: explains how to know to write multi-threaded applications in Python
      • Built-in Modules: introduces a few of Python’s lesser-known built-in libraries to make your code more useful and reliable
      • Collaboration: discusses proper documentation, packaging, dependency, and virtual environments
      • Production: covers the topics of debugging, optimization, testing, and memory management
    • Features
      • Builds on the basic fundamentals of Python
      • Reveals lesser known yet useful Python functionalities
    • Level: Intermediate

    • Benefits
      • If you have a solid foundation in Python and want to fill in holes, deepen your understanding, and learn some of the less obvious features of Python, this would be a great book for you
    • Requirements: Prior understanding and knowledge of Python fundamentals is a must.

    • Format: eBook/Book
      • Kindle
      • Paperback
    • Rating: 4/5

    • Review

      “This book is an exceptionally great resource for seasoned developers in other languages who are looking to quickly pick up Python and move beyond the basic language constructs into more Pythonic code. The organization of the book is clear, concise, and easy to digest, and each item and chapter can stand on its own as a meditation on a particular topic. The book covers the breadth of language constructs in pure Python without confusing the reader with the complexities of the broader Python ecosystem. For more seasoned developers the book provides in-depth examples of language constructs they may not have previously encountered, and provides examples of less commonly used language features. It is clear that the author is exceptionally facile with Python, and he uses his professional experience to alert the reader to common subtle bugs and common failure modes. Furthermore, the book does an excellent job of pointing out subtleties between Python 2.X and Python 3.X and could serve as a refresher course as one transitions between variants of Python.”         

                   –Katherine Scott, software lead, Tempo Automation

    • Edition: 2nd Edition

    • The book is available here.

  7. Grokking Algorithms: An illustrated guide for programmers and other curious people, by Aditya Bhargava

    • Introduction

      Grokking Algorithms: An illustrated guide for programmers and other curious people, by Aditya Bhargava makes the topic of algorithms highly practical, instead of making it purely theoretical. The books teaches the reader to develop his/her own programs such as a grammar checker by making use of a graph algorithm, as well as shows the application of algorithms to data compression problems. The highly engaging writing style makes the topics easier to grasp and apply in your everyday coding.

    • Author’s Name: Aditya Bhargava

    • Cost: $ 38 in US and INR 2,691 in India

    • What does the book cover?
      • Making use of algorithms in order develop programs
      • Application of algorithms to data compression problems
    • Features: The techniques taught cover major algorithm classes such as sorting and searching

    • Level: Advanced

    • Benefits: Highly engaging writing style that makes the concepts easier to grasp, understand and apply.

    • Requirements: Prior knowledge of coding and algorithms is required

    • Format: Paperback

    • Rating: 4.4/5

    • Review

      “Very good explanation of algorithms with best pictorial explanation”

    • Edition: 1st Edition

    • The book is available here.

  8. Treading on Python: Volume 2

    • Introduction

      Intermediate Python is exactly as the book calls it, it's intermediate-to-advanced topics about the Python programming language in a short and concise writing style. There's no fluff, it's to the point, but full of valuable information. This book is definitely recommended for Python programmers looking to rapidly increase their knowledge about intermediate and slightly advanced topics in Python
      programming.

    • Author’s Name: Matt Harrison

    • Cost
      • Kindle Edition: $ 6 in US and INR 449 in India
      • Paperback: $ 21 in US and INR 1,480 in India
    • What does the book cover?
      • Functional Python programming
      • List comprehensions
      • Generator expressions
      • Set & dict comprehensions
      • Iteration
      • Generators
      • Closures
      • Decorators
    • Features
      • Student friendly flow
      • Detailed yet concise explanations of concepts
    • Level: Intermediate to Advanced

    • Benefits: Perfect for intermediate level Python programmers

    • Requirements
      • Basic knowledge of the fundamental concepts of Python
      • Some prior experience of coding in Python
    • Format: eBook/Book
      • Kindle Edition
      • Paperback
    • Rating: 3/5

    • Review

      “This is a gem of a book. I have read over a dozen Python books and this remains my favorite. Once you've learned the basics of Python, this book will teach you the more advanced aspects of the language that make it such a great language. The book is written very clearly, with excellent, concise code examples. The sections of decorators is the best I've read, and although only 3 pages long, the section on closures is worth the price of the book alone (when you find a case where you really need a closure you'll understand what I mean!).”

    • Edition: Kindle Edition

    • The book is available here.

  9. Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visualization

    • Introduction

      Learning the Pandas Library is designed to bring developers and aspiring data scientists who are anxious to learn Pandas up to speed quickly. It covers the latest version of Pandas. It starts with the fundamentals of the data structures and also covers the essential functionality. It includes many examples, graphics, code samples, and plots from real world examples, proving to be an important resource for intermediate to Advanced level Python programmers.

    • Author’s Name: Matt Harrison, Michael Prentiss

    • Cost:
      • Kindle Edition: $ 6 in US and INR 449 in India
      • Paperback: $ 21 in US and INR 1,478 in India
    • What does the book cover?
      • Installation
      • Data Structures
      • Series CRUD
      • Series Indexing
      • Series Methods
      • Series Plotting
      • Series Examples
      • DataFrame Methods
      • DataFrame Statistics
      • Grouping, Pivoting, and Reshaping
      • Dealing with Missing Data
      • Joining DataFrames
      • DataFrame Examples
    • Features: Makes use of Python 3 throughout, thus making it very relevant to the present scenario.

    • Level: Intermediate and Advanced

    • Benefits: Rated by experts as a must have for Intermediate and advanced level programmers of Python

    • Requirements: Prior knowledge and experience in Python programming.

    • Format: eBook/Book
      • Kindle
      • Paperback
    • Rating: 4.8/5

    • Review
      • “This is an excellent introduction benefitting from clear writing and simple examples. The pandas documentation itself is large and sometimes assumes too much knowledge, in my opinion. Learning the Pandas Library bridges this gap for new users and even for those with some pandas experience such as me. -Garry C.”
    • Edition: 1st Edition

    • The book is available here.
  1. Problem Solving with Algorithms and Data Structures Using Python
  2. Python Practice Book
  3. The Python Workbook: A Brief Introduction with Exercises and Solutions
  4. Cracking the Coding Interview: 189 Programming Questions and Solutions
  5. Tiny Python 3.6 Notebook: Curated Examples
  1. Problem Solving with Algorithms and Data Structures Using Python

    • Introduction

      Problem Solving with Algorithms and Data Structures Using Python by Bradley N. Miller and David L. Ranum gives some of the best and most elaborate problems to solve using Python programming language.

    • Author’s Name:  Bradley N. Miller and David L. Ranum

    • Cost: $ 39 in US and INR 2,800 in India

    • What does the book cover?
      • Problems on Algorithms using Python
      • Problems on Data Structures using Python
    • Features: Elaborate examples that cover several topics

    • Level: Beginner to Intermediate

    • Benefits: Elaborate examples that cover several topics

    • Requirements
      • Fundamental concepts of Python and Object Oriented Programming
      • Basic theoretical and applications of Python programming
    • Format: Paperback

    • Rating: 4.2/5

    • Review

      “I bought this book because I'm a Data Scientist that needs to be able to communicate fluently with software developers, even though I don't have a formal computer science background. This book did a really great job at not just going over the key data structures and algorithms I need to know, but also demonstrating how they are actually implemented in python with real code/ examples. I'm still working my way through all the practice problems, but I feel like I've already learned a lot by just by reading through it. This will probably be staying on my desk as a reference for years to come.”

    • Edition: 2nd Edition

    • The book is available here.

  2. Python Practice Book

    • Introduction

      Python Practice book by Anand Chitipothu offers some of the most detailed and well thought out practice questions on Python, that make a developer really work his/her brain and master the concepts of Python.

    • Author’s Name: Anand Chitipothu

    • Cost: Free

    • What does the book cover?
      • Questions on the following topics:
      • Numbers
      • Strings
      • Functions
      • Conditional Expressions
      • Lists
      • Modules
      • Strings
      • Working With Files
      • List Comprehensions
      • Dictionaries
    • Features: Elaborate examples

    • Level: Beginner to Intermediate

    • Benefits: Get fully acquainted and clear with applications of basic fundamentals of Python

    • Requirements: Prior knowledge of Python and its applications

    • Format: HTML

    • Rating: 3.6/5

    • Review: “Very helpful”

    • Edition: 1st edition

    • The book is available here.

  3. The Python Workbook: A Brief Introduction with Exercises and Solutions

    • Introduction

      While other textbooks written aim to explain introductory concepts of programming, The Python Workbook focuses completely on practical examples and exercises. It follows the philosophy that computer programming is a skill that is best learned through experience and practice.

      Designed to support and encourage hands-on learning of the reader, The Python Workbook is a student friendly textbook that contains 174 exercises. These exercises span a variety of everyday situations and academic disciplines.  The solutions to selected exercises are also provided in the book. These solutions are then supported by brief annotations that are given so as to explain the technique and methodology that is used in order to solve the problem or to highlight specific points of Python syntax that was used in the solution. Apart from the topics that are covered in a typical introductory Python programming course,  there is no background knowledge that is required to solve the exercise.

    • Author’s Name: Ben Stephenson

    • Cost
      • Kindle Edition: $ 39 in US and INR 2,800 in India
      • Paperback: $ 27 in US and INR 1,960 in India
    • What does the book cover?
      • 174 student friendly exercises that cover fundamental Python programming
    • Features
      • Uses an accessible writing style and easy-to-follow structure
      • Includes a mixture of classic exercises from the fields of computer science and mathematics, along with exercises that connect to other academic disciplines
      • Presents the solutions to approximately half of the exercises
      • Provides annotations alongside the solutions, which explain the approach taken to solve the problem and relevant aspects of Python syntax
      • Offers a variety of exercises of different lengths and difficulties
      • Contains exercises that help the development of programming skills using if statements, loops, basic functions, lists, dictionaries, files, and recursive functions
    • Level: Beginner to Intermediate

    • Benefits
      • Easy to understand concepts
      • Makes for a good practice book for Python fundamentals
    • Requirements
      • No background knowledge is required to solve the exercises, beyond the material covered in a typical introductory Python programming course.
    • Format
      • Kindle
      • Paperback
      • Hardback
    • Rating: 3.3/5

    • Review

      “The book is suitable for a gentle introductory college level course, or even a solid high school intro to programming course. … A book like this one might in fact be ideal for someone aiming to learn programming or Python on his own. It can also be a very good supplementary material for an online course … . The book is a great resource for acquiring the basic coding fluency … .” (Bojan Tunguz, tunguzreview.com, February, 2015)”

    • Edition: 2014th edition

    • The book is available here.

  4. Cracking the Coding Interview: 189 Programming Questions and Solutions

    • Introduction

      A book that gets you through most of your coding interviews in easy to understand student friendly manner.

    • Author’s Name: Gayle Laakmann McDowell

    • Cost: $ 30 in US and INR 2,170 in India

    • What does the book cover?
      • 189 programming interview questions, ranging from the basics to the trickiest algorithm problems.
      • A walk-through of how to derive each solution, so that you can learn how to get there yourself.
      • Hints on how to solve each of the 189 questions, just like what you would get in a real interview.
      • Five proven strategies to tackle algorithm questions, so that you can solve questions you haven't seen.
      • Extensive coverage of essential topics, such as big O time, data structures, and core algorithms.
      • A behind the scenes look at how top companies like Google and Facebook hire developers.
      • Techniques to prepare for and ace the soft side of the interview: behavioral questions.
      • For interviewers and companies: details on what makes a good interview question and hiring process.
    • Features
      • Uses an accessible writing style and easy-to-follow structure
      • Includes a mixture of classic exercises from the fields of computer science and mathematics, along with exercises that connect to other academic disciplines
      • Presents the solutions to approximately half of the exercises
      • Provides annotations alongside the solutions, which explain the approach taken to solve the problem and relevant aspects of Python syntax
      • Offers a variety of exercises of different lengths and difficulties
      • Contains exercises that help the development of programming skills using if statements, loops, basic functions, lists, dictionaries, files, and recursive functions
    • Level: Beginner to Intermediate

    • Benefits
      • Easy to understand concepts
      • Makes for a good practice book for Python fundamentals
    • Requirements: Knowledge of Python fundamentals

    • Format: Paperback

    • Rating: 4.5/5

    • Review

      “This got me through four interviews, and I got an offer from each one. I would recommend this to anyone, with two big provisos: (1) if you’re going for a domain specific position like compilers, make sure to read up on those separately; and (2) focus on the Moderate problems. The Hard problems frankly weren’t asked and it was much more important to have the whiteboard coding method down.”

    • Edition: 6th Edition

    • The book is available here.

  5. Tiny Python 3.6 Notebook: Curated Examples

    • Introduction

      Tiny Python 3.6 Notebook by Matt Harrison provides several examples for a variety of Python concepts. The examples are very well thought out and make the reader really work on the concepts of Python, cementing his/her concepts of Python very well, in the process.

    • Author’s Name: Matt Harrison

    • Cost
      • Kindle Edition: Rs. 236
      • Paperback: Rs. 1,597
    • What does the book cover?
      • REPL
      • Types
      • Unicode
      • String Formatting
      • Functions
      • Classes
      • Looping
      • Exceptions
      • Decorators
      • Class Decorators
      • Metaclasses
      • Generators
      • Coroutines
      • Comprehensions
      • Context Managers
      • Type Annotations
    • Features
      • Simple examples
      • Examples that really get concepts clear
    • Level: Intermediate to advanced

    • Benefits: Useful for intermediate to advanced level python programmers.

    • Requirements: Knowledge of python and programming is a must

    • Format: eBook/Book
      • Kindle
      • Paperback
    • Rating: 4.8/5

    • Review

      “Very good quick reference to Python 3.6. As the author states, it's intended as a "notebook" to lookup info”

    • Edition: Kindle Edition

    • The book is available here.
  1. Invent Your Own Computer Games with Python
  2. Effective Computation in Physics: Field Guide to Research with Python
  3. Real Python Course
  4. Python for Kids: A Playful Introduction to Programming
  5. Teach Your Kids to Code: A Parent-Friendly Guide to Python Programming
  6. The Self-Taught Programmer: The Definitive Guide to Programming Professionally
  7. Programming the Raspberry Pi, Second Edition: Getting Started with Python
  8. Coding Projects in Python
  1. Invent Your Own Computer Games with Python

    • Introduction

      A book for the gamers. If you’re fascinated by games and ever wanted to create your own game, this is the right course for you.

    • Author’s Name: Al Sweigart

    • Cost
      • Kindle Edition: $ 16 in US and INR 1,148 in India
      • Paperback: $24 in US and INR 1,714 in India
    • What does the book cover?
      • Begin by building classic games like Hangman, Guess the Number, and Tic-Tac-Toe,
      • More advanced games, like a text-based treasure hunting game and an animated collision-dodging game with sound effects.
      • Key programming and math concepts that will help you take your game programming to the next level.
    • Features
      • Combine loops, variables, and flow control statements into real working programs
      • Choose the right data structures for the job, such as lists, dictionaries, and tuples
      • Add graphics and animation to your games with the pygame module
      • Handle keyboard and mouse input
      • Program simple artificial intelligence so you can play against the computer
      • Use cryptography to convert text messages into secret code
      • Debug your programs and find common errors
    • Level: Beginner to Intermediate

    • Benefits
      • Easy to understand concepts
      • Good practice book for Python fundamentals
      • Learn Programming while enjoying games.
    • Requirements: Knowledge of Python fundamentals

    • Format: Paperback and Kindle

    • Rating: 4.04/5

    • Edition: 1st  Edition

    • The book is available here.

  2. Effective Computation in Physics: Field Guide to Research with Python

    • Introduction

      This book is for the Physicists who are taking on software development. Adapting to the new field can be tough and tiring. But this computation book makes it easier for everyone to comprehend and develop.

    • Author’s Name: Anthony Scopatz And Kathryn Huff

    • Cost
      • Kindle Edition: $ 6 in US and INR 471 in India
      • Paperback: $ 13 in US and INR 900 in India
    • What does the book cover?
      • This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field.
      • Written by two PhDs in nuclear engineering, this book includes practical examples drawn from a working knowledge of physics concepts.
    • Features
      • Getting Started: Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objects
      • Getting It Done: Learn about regular expressions, analysis and visualization, NumPy, storing data in files and HDF5, important data structures in physics, computing in parallel, and deploying software 
      • Getting It Right: Build pipelines and software, learn to use local and remote version control, and debug and test your code
      • Getting It Out There: Document your code, process and publish your findings, and collaborate efficiently; dive into software licenses, ownership, and copyright procedures
    • Level: Beginner to Intermediate

    • Benefits
      • Easy to understand concepts
      • Good practice book for Python fundamentals along with the examples suitable and applicable in Physics.
      • You’ll learn how to use the Python programming language to perform everything from collecting and analyzing data to building software and publishing your results.
    • Requirements: Knowledge of Python fundamentals

    • Format: eBook/Book
      • Paperback
      • Kindle
    • Rating: 4.1/5

    • Edition: 1st Edition

    • The book is available here.

  3. Real Python Course

    • Introduction

      This is the first eBook in the Real Python series. It’s for everyone who wants to learn Python. It emphasizes real-world programming techniques, which are illustrated through interesting, useful examples.

    • Author’s Name: Fletcher Heisler, Michael Herman and Jeremy Johnson

    • Cost:
      • Kindle Edition: $ 50 in US and INR 3500 in India
    • What does the book cover?
      • It starts with the syntax—both Python 2.7 and 3.6—to provide you with a solid foundation to build your skills on.
      • Database programming with SQL, web scraping, REST fundamentals, and much more before learning three powerful web frameworks: Flask, web2py, and Django.
      • Best practices while building an enterprise-grade web app utilizing a number of tools like Bootstrap, Git, Heroku, Angular, Vagrant, Travis CI, MongoDB, and PostgreSQL, to name a few. 
    • Features
      • Follows 80/20 principle.
      • It will cover the commands and techniques used in the vast majority of cases and focus on how to program real-world solutions to problems that ordinary people actually want to solve.
    • Level: Beginner to Intermediate

    • Benefits
      • Learn useful techniques much faster
      • Spend less time struggling with unimportant complications
      • Find more practical uses for Python in your own life
      • Have more fun in the process
    • Requirements: Knowledge of Python fundamentals

    • Format: eBook
      • Kindle
    • Rating: NA

    • Edition: 1st Edition

    • The book is available here.

  4. Python for Kids: A Playful Introduction to Programming

    • Introduction

      This is book is for every budding programmer who wants to have fun with Python.

    • Author’s Name: Jason R. Briggs

    • Cost
      • Kindle Edition: $29 in US and INR 2053 in India
    • What does the book cover?
      • Aims to bring you (and your parents) into the world of programming.
      • The ever-patient Jason R. Briggs will guide you through the basics as you experiment with unique (and often hilarious) example programs that feature ravenous monsters, secret agents, thieving ravens, and more.
      •  New terms are defined; code is colored, dissected, and explained; and quirky, full-color illustrations keep things on the lighter side.
    • Features
      • Use fundamental data structures like lists, tuples, and maps
      • Organize and reuse your code with functions and modules
      • Use control structures like loops and conditional statements
      • Draw shapes and patterns with Python turtle module
      • Create games, animations, and other graphical wonders with tkinter
    • Level: Beginner

    • Benefits
      • Learn useful techniques much faster
      • Get an edge over others.
      • Sharpen your skills since childhood.
      • Spend less time struggling with unimportant complications
      • Find more practical uses for Python in your own life
      • Have more fun in the process
    • Requirements: No previous knowledge required

    • Format: eBook/Book
      • Kindle and Paperback
    • Rating: 4.8/5

    • Edition: 1st Edition

    • The book is available here.

  5. Teach Your Kids to Code: A Parent-Friendly Guide to Python Programming

    • Introduction

      This book is perfect fit for the future programmer who wants to change the world through his skills.

    • Author’s Name: Bryson Payne

    • Cost
      • Kindle Edition: $ 25 in US and INR 1749 in India
      • Paperback: $25 in US and INR 1752 in India
    • What does the book cover?
      • Step-by-step explanations for computational thinking.
      • Friendly introductions to fundamental programming concepts such as variables, loops, and functions will help even the youngest programmers build the skills they need to make their own cool games and applications.
      • Explained; and quirky, full-color illustrations.
    • Features
      • Explore geometry by drawing colorful shapes with Turtle graphics
      • Write programs to encode and decode messages, play Rock-Paper-Scissors, and calculate how tall someone is in Ping-Pong balls Create fun, playable games like War, Yahtzee, and Pong Add interactivity, animation, and sound to their apps
    • Level: Beginner

    • Benefits
      • Learn useful techniques much faster
      • Get an edge over others.
      • Sharpen your skills since childhood.
      • Spend less time struggling with unimportant complications
      • Find more practical uses for Python in your own life
      • Have more fun in the process
    • Requirements: No previous knowledge required

    • Format: eBook/Book
      • Kindle and Paperback
    • Rating: 4.9/5

    • Edition: 1st Edition

    • The book is available here.

  6. The Self-Taught Programmer: The Definitive Guide to Programming Professionally

    • Introduction

      It is said that experience is the best teacher, that is exactly the case with the author here. He, himself was a self-taught learner. After landing into his first job, he realized there are several things that he wasn’t aware of.

    • Author’s Name: Cory Althoff

    • Cost
      • Kindle Edition: Free
      • Paperback: $21 in US and INR 1469 in India
    • What does the book cover?
      •  "The Self-taught Programmer" is a roadmap, a guide to take you from writing your first Python program, to passing your first technical interview.
    • Features
      • Learn to program in Python 3 and build your first program.
      • Learn Object-oriented programming and create a powerful Python program.
      • Learn to use tools like Git, Bash, regular expressions and databases.
      • Study Computer Science fundamentals including computer architecture, data structures, algorithms and network programming.
      • Learn to program for production
      • Finish with tips for working with a team and landing a programming job.
    • Level: Beginner

    • Benefits
      • Learn useful techniques much faster
      • Spend less time struggling with unimportant complications
      • Find more practical uses for Python in your own life
      • Have more fun in the process
    • Requirements: No previous knowledge required

    • Format: eBook/Book
      • Kindle and Paperback
    • Rating: 4.5/5

    • Edition: 1st Edition

    • The book is available here.

  7. Programming the Raspberry Pi, Second Edition: Getting Started with Python

    • Introduction

      Develop your programming skills with Python and Raspberry Pi. Discover how to configure hardware and software, write Python scripts, create user-friendly GUIs, and control external electronics. DIY projects include a hangman game, RGB LED controller, digital clock, and RasPiRobot complete with an ultrasonic rangefinder.

    • Author’s Name: Simon Monk

    • Cost
      • Kindle Edition: $7 in US and INR 526 in India
      • Paperback: $13 in US and INR 908 in India
    • What does the book cover?
      • To create new programs and fun games on your powerful Raspberry Pi―with no programming experience required.
      • Updated and hence fully covers the new Raspberry Pi 2, including upgrades to the Raspbian operating system.
      • Discover how to configure hardware and software, write Python scripts, create user-friendly GUIs, and control external electronics.
    • Features
      • This practical book has been revised to fully cover the new Raspberry Pi 2, including upgrades to the Raspbian operating system.
    • Level: Beginner

    • Benefits
      • Updated for Raspberry Pi 2
      • Set up your Raspberry Pi and explore its features
      • Navigate files, folders, and menus
      • Write Python programs using the IDLE editor Use strings, lists, functions, and dictionaries
      • Work with modules, classes, and methods
      • Create user-friendly games using Pygame
      • Build intuitive user interfaces with Tkinter Attach external electronics through the GPIO port
      • Add powerful Web features to your projects
    • Requirements: No previous knowledge required

    • Format: eBook/Book
      • Kindle and Paperback
    • Rating: 4.5/5

    • Edition: 1st Edition

    • The book is available here.

  8. Coding Projects in Python

    • Introduction

      This book is for young learners who aspire to be programmers or just enjoy working with Python. The features of the book helps the learner to comprehend even the complex aspects of Python in an easy way.

    • Author’s Name: DK

    • Cost
      • Kindle Edition: $ 31 in US and INR 2235 in India
      • Paperback: $14 in US and INR 996 in India
    • What does the book cover?
      • Fun graphics and easy-to-follow instructions.
      • Step-by-step guide to teach essential coding basics like loops and conditionals, and outline 14 fun and exciting projects, including a script that cracks secret codes, a quiz to challenge family and friends, a matching game, and much more.
    • Features
      • Perfect for kids ages 10 and over who are ready to take a second step after Scratch, Coding Projects in Python teaches kids how to build amazing graphics, fun games, and useful apps.
      • All they need is a desktop or laptop, and an Internet connection to download Python 3.
    • Level: Beginner

    • Benefits
      • The simple, logical steps in the book are fully illustrated with fun pixel art and build on the basics of coding.
      • Supporting STEM education initiatives, computer coding teaches kids how to think creatively, work collaboratively, and reason systematically, and is quickly becoming a necessary and sought-after skill.
      • Fun exercises with step-by-step guidance, making them the perfect introductory tools for building vital skills in computer programming.
    • Requirements: No previous knowledge required

    • Format: eBook/Book
      • Kindle and Paperback
    • Rating: 4.8/5

    • Edition: 1st Edition

    • The book is available here.

Python Applications

Python is a general-purpose programming language which offers multiple paradigms to the computer world. Some of the applications where Python is used extensively are:

  1. Web application development
  2. Academics
  3. GUI-based applications
  4. Business and enterprise applications
  1. Web application development: Python provides frameworks such as - Django, Flask, Bottle, and Pyramid which help to smooth the communication between different interfaces or protocols and content management as well to go along with more useful features.

  2. Academics: Python is extensively used for research purposes and in academic projects as well due to the number of useful libraries it offers such as - NumPy, Pandas, matplotlib, SciPy, and scikit-learn. Fields like Data science and Machine learning are essentially powered by Python.

  3. GUI-based applications: Python provides TkInter library which is a GUI library along with numerous other GUI libraries which help create desktop applications with smooth interfaces.

  4. Business and enterprise applications: Due to its readability, extensibility, scalability and most importantly the number of libraries provided, Python is used to build ERP and e-commerce applications as well. Odoo and Tryton are two of the most popular libraries for such purposes which allow Python to create and support large applications.

Some of the biggest and the most successful businesses around the world make use of Python in different ways-

  1. Instagram
  2. Reddit
  3. Spotify
  4. Amazon
  1. Instagram: Instagram recently transitioned to the use of Python 3, in combination with the Django Python framework. The main reason why Instagram makes use of Python is that it is an engineer friendly language with a relatively easy syntax, thus leaving its engineers free to focus on other features and aspects of the application and make it more user focussed.

  2. Reddit: While it was launched originally coded in the Lisp programming language, Reddit was revamped and coded in Python just months after its launch. The main reason for this change to Python was the availability of a vast library and developmental flexibility. 

  3. Spotify: Spotify is another industry behemoth that makes use of Python for data analysis as well as for its backend services. According to company insiders, the popularity of Python inside the company is due to the rapid speed of development that the language offers. It also allows the company’s application to prototype complicated jobs, thus boosting the speed and efficiency of the application.

  4. Amazon: One of the main reasons behind the popularity of Amazon is owing to the accurate recommendations that the application provides to its users. In order to do so, Amazon does an analysis of the searching patterns as well as the buying habits of its customers. It is able to perform this with the help of the Python programming language. Python functionalities combined with Amazon’s Hadoop database work together in order to provide Amazon with the ability to provide the most efficient and accurate recommendations that make it so popular among retail customers around the world.

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Faq

The Course

Python is an object-oriented, interactive programming language which is supple and allows the lucid expression of concepts in fewer lines of code than in other languages. It is widely deployed for processing text, numbers, images or scientific data, and finds popular application in many development environments. Our course will hand hold you through the various fundamentals of Python going from basic to advanced and helping you master the language in a short time. Our experienced instructors will help you understand the fundamentals and give you hands-on training in handling and delivering Python packages. You can get up to speed with the latest best practices in coding with this multi-paradigm programming language that is actively used both in industry and academic circles. Python is among the most in-demand programming languages and Python developers can earn upto $116, 379 annually. This is the best time to learn this language.

You will learn:

  • How to use the Python and its environment
  • How to use Python functions to manipulate data
  • How to use Python modules, regular expressions and object oriented concepts

By the end of this course, you would have gained knowledge on the use of Python language to build applications.

The Tools and Technology used for Python Course is Python

There are no restrictions but we recommend having basic programming knowledge.

Yes, KnowledgeHut offers this training online.

On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.

Your instructors are Python experts who have years of industry experience. 

Finance Related

Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: http://www.knowledgehut.com/refund

KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy.

The Remote Experience

In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.

Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor

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