Python Certification will assist you in mastering the concepts of Python and its libraries like SciPy, Matplotlib, Scikit-Learn, Pandas, NumPy, Lambda functions, and Web Scraping. Learn how to write Python Programming for Big Data systems such as Spark and Hadoop.
Python certification is suitable for beginners, intermediate learners as well as Python experts. Learn Python from scratch and work on real-world projects and case studies to get extensive hands-on experience.
Over the course duration, interact with the instructors in real-time, that is, listen, learn, interact, question, and apply.
So 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.
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!
Chapter No | Python Tutorial Chapters |
| 1 | Get a brief idea of what this Python tutorial has to offer. Know about the main features of Python along with the history of its development. Learn some important applications of Python, including data science, machine learning, image processing etc, along with who uses Python. |
| 2 | Gain a brief idea about Python Online. Learn how to install Python on your Windows and Linux machine with the help of the installation instructions provided in this module. Also, get acquainted with alternative Python distributions such as Anaconda and Canopy. |
| 3 | Gain an understanding of Keywords, Identifiers and Statements to learn about the basic syntax of Python. Learn the rules of naming identifiers, Intends and Comments with suitable examples. |
| 4 | Acquire knowledge on the data type systems in Python, viz. Standard or Built-In data types, which include Numbers, Sequences and Mappings. Learn about Variables, Dynamic Typing and Mutability of Objects in this module. Moreover, gain an understanding of the input/output functions input() and print() along with appropriate examples. |
| 5 | This module deals with the representation of numeric data types, viz. int, bool, float, complex. Learn about the Built-in Conversion Functions such as int(), float(), complex(); as well as the Built-in Mathematical Functions such as abs(), hex(), oct(), pow(), round() with simple examples. |
| 6 | Get a detailed look at the characteristics of Python’s string data type and the different escape sequences. Learn various useful methods of built-in String class – such as changing cases, finding and replacing within the string, etc. String formatting and format() function is explained with suitable examples. |
| 7 | Learn about Python’s built-in container types, List and Tuple. Know the similarities and the differences between the two. Gain an understanding of the built-in functions that can be used along with List as well as Tuple. The Conversion functions list(), tuple() and str() are illustrated in this chapter. |
| 8 | Definition of Dictionary along with its representation and examples of dictionary objects. Learn how to access and update values in the dictionary. Gain an understanding of the built-in functions and dictionary class methods. Learn about the Keys(), values() and items() methods with suitable examples. |
| 9 | Know everything about Sets and set() function that you need to know with the help of suitable examples. Learn about the different methods by which the set object can be modified. This module also explains how various set operations like union, intersection are performed using respective methods in Set class. |
| 10 | This module deals with operators in Python, that perform various operations on Python objects. Learn about the arithmetic and logical operations defined in Python. Moreover, get to know the use of set operators corresponding to methods in Set class. Get to know about the identity, membership and bitwise operators. |
| 11 | Python - Conditional Statements Get to know the proper definition of program and programming. Acquire the knowledge of logical programming and learn how the statements are executed. Learn how to use the different conditional statements, viz. if, else and elif with appropriate examples. |
| 12 | Gain a basic understanding of loops through this module. This module describes the importance and usage of while loop, for loop as well as nested loop in Python with the help of examples. Python’s loop control keywords break and continue have been dealt with in detail in this module. |
| 13 | Python library is bundled with a large number of modules, each containing a number of utility functions. In this module, frequently used functions from various modules are explained with examples. The sys module and statistics module has also been covered. |
| 14 | Python - User Defined Functions Learn how to define a new function as per requirements and how to call it. Different features of defining and passing arguments to a function are explained with suitable examples in this module. Learn how to make a function return value. Moreover, calling the function by reference is also explained. |
| 15 | Python – Functional Programming This module will give you an overview of some important tools supporting functional programming paradigm. Learn about iterator and generator functions in this module. It also deals with list comprehension and related tools in details. Learn how to use the map(), filter() and reduce() functions. |
| 16 | This chapter will help you learn how to build a module and import functions from it. Learn how to use the various attributes of these modules under diverse programming situations. Additionally, study how to build a module and import functions from it. |
| 17 | This module deals with packages, as well as how to construct a package and import functions from it. Furthermore, build a package and install it for system-wide use with the help of setup tools module. The process of publishing module on Python package index repository has also been discussed. |
| 18 | This module discusses Exceptions and the numerous predefined Exception classes present in a Python library. Get to know the various exception types. Learn how to use try, except and finally keywords to understand Python’s exception handling mechanism. Define customized exception classes and raise their instances. |
| 19 | Get acquainted with the built-in File object of Python in this chapter. Various file opening modes like append and simultaneous read/write are explained with relevant examples. A section in this chapter deals with file related exception handling. Moreover, learn how to perform read/write operations on a binary file. |
| 20 | Learn what are Comma Separated Values (CSV) format. Learn about its Reader and Writer classes as well as convenience functions along with suitable examples. The various functions discussed are writer(), writerow(), writerows(), reader(), DictWriter(), writeheader(), DictReader(). This module also discusses, in brief, the Dialect class. |
| 21 | Python – Database Connectivity This chapter introduces the concepts of a relational database, explaining the basic SQL queries for CRUD operations with the help of SQLite and MySQL database. Learn how Python programming can be used to perform SQL operations on the SQLite database. Here, MySQL connectivity is explained by installing PyMySql module. |
| 22 | Get a deeper insight into Tkinter. Learn how to form a basic window and put various widgets like button, label, entry etc. Get to know its layout management with place(), pack() and grid() methods. Learn about Event handling mechanism and how to draw different shapes using the Canvas widget. |
| 23 | Understand the difference between a procedure-oriented approach towards programming from an object-oriented approach. Learn how to build a user-defined class and set up its objects. Additionally, the concept of constructor, instance attributes and methods are explained along with Python’s built-in property() function using examples. |
| 24 | Understand what a Decorator is and learn how to define a decorator. Understand the built-in property() function and how to use it as a @property decorator. Moreover, learn about the @classmethod and @staticmethod built-in decorators as well. |
| 25 | In this chapter, take a look at Python’s implementation of the principle of inheritance. Understand the Syntax of Inheritance. Other topics discussed in this chapter are Overriding, multiple inheritance and Protected attributes. |
| 26 | This chapter will help you understand what Magic Methods are. In this chapter, magic methods used for object customization are discussed. They are __new__(), __repr__() and __str__(). Get to know about operator overloading and object customization. MyTime class has been used to demonstrate operator overloading. |
| 27 | This chapter explains all the functions that are defined in the regex module of Python’s standard library. This chapter demonstrates searching for, matching, finding and compiling regex patterns. Towards the end of the chapter, typical use cases of regex such as matching domain names are explained. |
| 28 | Important features of Python’s implementation of the CGI protocol has been discussed. It describes how Apache server is configured for running *.py files as a CGI script. Various attributes, methods of FieldStorage class have been used to demonstrate how data is sent from a web client and result is redirected from the server. |
| 29 | This chapter deals with the SMTP protocol with the help of the smtplib module. A suitable example is used to show how we can use Gmail by configuring its SMTP server to send an email from a Python script. |
| 30 | Gain an understanding of serialization and deserialization. In this chapter, understand and learn pickle protocols, which is Python’s own serialization format. Serialization functionality of marshal and shelve module is also explained. Finally, learn how Python objects are represented in JSON format with the help of the JSON module. |
| 31 | In this chapter, understand the principles of concurrent threads in a program. The threading module defines functions to initialize, start run and terminate a thread. We shall also see how a thread can be paused and resumed. This chapter takes a look at the concept of thread synchronization. |
| 32 | This chapter covers the implementation of the ElementTree API model. With the help of a suitable example, understand and learn how Python objects can be serialized in XML format and reconstructed back. Moreover, learn how to parse, modify an XML file and the comparison between DOM and SAX APIs. |
| 33 | This chapter takes a look at the functionality of the 'socket' module that provides access to the BSD socket interface, and focuses mainly on connection-oriented TCP sockets. Understand the various Server Socket methods and learn how to set up a socket server as well as a client application. |
| 34 | Data classes module is the latest addition to Python’s standard library. The @dataclass decorator helps in auto-generation of constructor and operator overloading methods in a class. The functions asdict(), astuple() and make_dataclass() have been discussed with respective examples in this chapter. |
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.
Get started on your Python journey by learning to Install Anaconda - Python distribution.
Create your first Python program by learning basic syntax, variables, types and so on...
Learn about data structures that Python can handle. Create, manipulate Python lists, tuples, etc.,
Learn to write complex decision making code by mastering control structures like if, for, while, break and more
Learn to write and import your own Python modules and use them in other directories
Learn all about Regular Expressions; their uses in matching patterns and parsing files and text for information
Learn to write user-defined functions and object-oriented way of writing classes and objects.
Take your Python programming skills to the next level with functions, import packages and improved code readability
We recommend:
3 Months FREE Access to all our E-learning courses when you buy any course with us
Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.
Our courseware is designed by industry experts who have real-world experience. Get the most advanced knowledge and skills.
Learn theory backed by practical case studies, exercises, and coding practices. Apply skills and knowledge effectively in the real world.
Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Get reviews and feedback on your final projects from professional developers.
Build a small game to rearrange jumbled letters and create a word. A player is given a jumbled word, player will have to arrange the characters of the word and make a correct meaningful word.
Build a dice rolling simulator using Python, which will randomly select a number between 1 and 6. After selecting the number, it should print it and ask you if you would like to roll the dice again.
Create the classic Tic-Tac-Toe game (also called Noughts and Crosses) in Python using user defined functions, while loops etc. Player takes turns marking the spaces in a 3×3 grid.
Calculators are handy and can be used to perform simple tasks using simple operations like addition, subtraction, multiplication and division. Create a calculator using operators in Python to add, subtract, multiply and divide.
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:
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:
Hands-on:
Install Anaconda - Python distribution
Learning Objective:
In this module, you will learn to convert messy text into something useful.
Topic Covered:
Hands-on:
Write Python code to implement string operations.
Learning Objective:
Learn the various data structures that are used in Python.
Topic Covered:
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:
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:
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:
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:
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:
Hands-on:
Write Python code to construct a class and define objects.
Learning Objective:
Study Use Cases to explore Python
Topic Covered:
Hands-on:
Use cases covering conditional statements, functions, classes, modules, regular expressions.
We at Knowledgehut, conduct Python Programming certification training in all the cities across the globe and here are a few listed for your reference:
|
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 the 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 the US and INR 12,800 in India |
Beginner/Advanced |
Video |
4.4/5 |
|
16. |
Python for Finance: Investment
Fundamentals & Data Analytics |
Udemy |
$
180 in the 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 the 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.
Python is the world’s fastest growing and perhaps, the most popular programming language. This course helps you understand the basics of this popular language used by software engineers, analysts, data scientists, and machine learning engineers alike.
No, Python is one of the easiest programming languages to master.
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 include the following:
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 programming then you must see our list below containing important topics which may take the most time.
Ranging from courses to books, here is a list of some of the best ways to learn Python programming language in 2019.
Below is the list of top Python books for experts-
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:
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. There are still some situations in which you might need to know Python 2:
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 programming you decide to start with, it will be an easy process for you to transfer your knowledge to the other when needed.
Python was first conceptualized in the late 1980s by a man named Guido van Rossum, who was a member of the National Research Institute of Mathematics and Computer Science.
The developer of the Python programming 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:
When compared to other programming languages like Java, C#, PHP etc. Python is still in trend today due to the following reasons:
Below are the steps defined for beginners if you want to get started with Python Programming.
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.
Below is the list of some of the best resources to learn the basics of Python:
From being used by college students to create a program for a college project to 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 Python tutorials for the same.
|
S.No |
Tutorial name |
Type |
Medium |
Level |
Cost |
|
1. |
Python
3 Tutorial |
Exercise/Practice |
Blog |
Beginner |
Free |
|
2.
|
The
Python Tutorial |
Exercise/Practice | Blog |
Beginner/Intermediate |
Free |
|
3. |
Python
Tutorial |
Exercise/Practice | 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/Practice |
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 |
Practice |
Blog |
Advanced |
Free |
|
18. |
Quantitative
Economics with Python |
Practice |
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 |
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.
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:
When stuck on a problem, don’t hesitate to search for the solution on Google or even StackOverflow. TheInternet usually provides expert guidance to anyproblem
There are numerous books for beginners if you are looking to learn Python programming 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.
Although there are many releases of Python programming 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.
We have compiled a list of top courses on the internet that you can enroll yourself into to learn Python 3.
In the diverse world of programming languages, Python programming has come out on top and attracted professionals and beginners alike due to the numerous benefits it provides:
Here are some of the best resources to learn Python:
If you want to learn Python and have no experience in it, below is the list of steps you can follow-
Dictionaries in Python programming 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.
You can learn Python programming 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.
Below are the steps to learn python programming for data science.
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.
Windows do 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.
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:
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.
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.
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.
Sr. No. | Python Versions | Released Date |
| 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. | 27 June 2018 | |
| 5. | 24 December 2018 | |
| 6. | 3 December 2008 | |
| 7. | 02 March 2019 | |
| 8. | 30 April 2018 | |
| 9. | 16 September 2017 | |
| 10. | 17 December 2016 | |
| 11. | 26 June 2016. | |
| 12. | 16 October 2000 | |
| 13. | 5 September 2000 | |
| 14. | 22 March 2000 | |
| 15. | 6 July 1999 | |
| 16. | 30 April 1999 |
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. |
Listed below are some of the main reasons why you should learn Python Programming:
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.
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.
Output: Hello world!
A Python program can be run in the following two ways:
There are basically two ways to run Python on any OS for that matter:
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
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.
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.
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 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.
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.
Below is the list of best courses offering to teach the structuring used in the industry for Python projects.
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.
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:
We have put together a list of top 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 the 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 the US and
INR 554.40 in India Paperback: $ 19 in US and INR
1,350 in India |
1392 |
O’Reilly
Media |
4.8/5 |
| 20 | Introduction to Machine Learning with Python: A Guide for Data Scientists | Andreas C. Müller and Sarah Guido | 2017 | Kindle Edition: $ 16 in the US and INR 1,140 in India Paperback: $ 41 in US and INR 2,913 in India | 392 | O’Reilley Media | |
| 21 | Fluent Python: Clear, Concise, and Effective Programming | Luciano Ramalho | 2015 | Kindle Edition: $ 8 in the 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 the 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 the 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 |
It is said that experience is the best teacher and there is no better example of this than the author of this book. Self-taught, he learnt that there are several things that he wasn’t aware of after landing his first job.
Being a user-friendly language, Python is used in various domains. Below mentioned are a few applications of Python language:
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.
With numerous GUI toolkits available, like wxPython, PyQt or PyGtk, developers can create highly functional Graphical User Interfaces (GUI).
Python has developed to become an integral part of Linux distributions. For example, Ubiquity Installer of Ubuntu has been developed in Python.
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.
Python is used as a support language by Software developers for build-control and management, testing, etc.
Python has paved its way to becoming an amazing language for teaching programs, both at introductory as well as advanced level. Example: Scons, Buildbot, Apache Gump, etc.
Python is widely used to build ERPs and e-commerce systems. Example: Tryton, Odoo.
Customize different databases like MySQL, Microsoft SQL Server, Oracle, etc. with the help of Python.
With the help of various modules, libraries, and platforms that support the development of games, one can develop games with Python.
Python is further used in the following 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.
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.
KnowledgeHut is a great platform for beginners as well as experienced professionals who want to get into the data science field. Trainers are well experienced and participants are given detailed ideas and concepts.
Everything from the course structure to the trainer and training venue was excellent. The curriculum was extensive and gave me a full understanding of the topic. This training has been a very good investment for me.
I really enjoyed the training session and am extremely satisfied. All my doubts on the topics were cleared with live examples. KnowledgeHut has got the best trainers in the education industry. Overall the session was a great experience.
I was impressed by the way the trainer explained advanced concepts so well with examples. Everything was well organized. The customer support was very interactive.
This is a great course to invest in. The trainers are experienced, conduct the sessions with enthusiasm and ensure that participants are well prepared for the industry. I would like to thank my trainer for his guidance.
The workshop held at KnowledgeHut last week was very interesting. I have never come across such workshops in my career. The course materials were designed very well with all the instructions were precise and comprehenisve. Thanks to KnowledgeHut. Looking forward to more such workshops.
It is always great to talk about Knowledgehut. I liked the way they supported me until I got certified. I would like to extend my appreciation for the support given throughout the training. My trainer was very knowledgeable and I liked the way of teaching. My special thanks to the trainer for his dedication and patience.
The course material was designed very well. It was one of the best workshops I have ever attended in my career. Knowledgehut is a great place to learn new skills. The certificate I received after my course helped me get a great job offer. The training session was really worth investing.
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:
By the end of this course, you would have gained knowledge on the use of Python programming language to build applications.
There are no restrictions but we recommend having basic programming knowledge.
Yes, KnowledgeHut offers python programming 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.
Any registration canceled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% reduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of the written request for refund. Kindly go through our Refund Policy for more details.
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..
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
