Python Certification Training

We at Knowledgehut, conduct Python Programming certification training in all the cities across the globe and here are a few listed for your reference:

• Programming with Python: Hands-On Introduction for Beginners
• Programming for Everybody (Getting Started with Python)
• Introduction to Programming with Python
• Programming Foundation with Python
• Learn Python 2
• Introduction to Python
• Introduction to Computer Science and Programming Using Python
• Learning Python with PyCharm
• Data Camp
• Python and Django Full Stack Web Developer Bootcamp
• Google's Python Class
• O’Reilly’s Python Programming
• OpenEDG Python Institute Certifications
• Machine Learning with Python Training
• The Python Mega Course: Build 10 Real World Applications
• Python for Finance: Investment Fundamentals & Data Analytics
• Complete Python Bootcamp: Go from zero to hero in Python 3

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.

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
• IntroductionThis 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
• InstructorFebin 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 courseNo 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)
• IntroductionThis 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 this popular language 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
• IntroductionThis 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 RequirementsCoding 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
• IntroductionThis 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
• InstructorJose 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.

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
• IntroductionThis 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 IndiaThe 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 are 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
• InstructorThe 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 RequirementsNo 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
• IntroductionThis 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
• IntroductionThe 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.
  

1. Python 3 TutorialThis 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 TutorialThe 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 TutorialThis 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 GuideA 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 OnlineThis 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 SeriesThis 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 BeginnersAs 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. PySideThis 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 TutorialThis 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 of teaching 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 GoogleThis 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 PythonTwitter 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 PythonWritten 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 BeginnersThis 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 PythonThis 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 engineeringThis 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 PythonIt 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

1. The Python Bible™ | Everything You Need to Program in PythonA 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 3Michael 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 3This 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 ProgrammingA 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 MasterclassThis 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 ApplicationsThis 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 ScratchThis 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 DevelopersAfter 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 ScienceThe 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 GuideIf 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 ProIt 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 PythonThis 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 PythonWith 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 ScienceThis is a certification course and is most suitable for advanced Python programmers, who are looking to venture into the 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 ProgrammingStudents 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

No, Python is one of the easiest programming languages to master.

• 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.

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:

• 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 the complexity of programming
• It has an elegant syntax that is almost like the English language, thus making programs easier to learn and build.
• Python programming 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 it’s 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.

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.

• 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

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

1. Complete Python Bootcamp: Go from zero to hero in Python 3
2. The Python Bible™ | Everything You Need to Program in Python
3. Google's Python Class
4. Full Stack Python: Best Python videos

1. 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.
2. 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.
3. 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.
4. 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
• Learn Python the Hard Way
• Python Crash Course: A Hands-On, Project-Based Introduction to Programming

1. 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
2. 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
3. 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 Python programming language has skyrocketed and it has overtaken PHP
• Due to its general purpose usability, Python's demand has exploded and supply has been slow to keep up. This has increased the salary of Python developers around the globe.

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 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.

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.

• 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 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:

• 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 This 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 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 Programming.

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 you better in 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 programming such as variables, functions, lists, tuples etc.
5. Implementation: No learning is complete without implementation and hands-on practice.Work on 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 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 programming 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 the 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

1. 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. 
2. Intro to Computer Science: If you have little to no experience in programming then thiscourse, approximately 3 months long, 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.
3. 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.
4. 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.

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.

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 the def keyword and for classes, it has class.
• Exceptions: Python has exception handling feature handles by try-except.
• I/O: Python has a wide range of 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 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. 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.

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

1. 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.
2. 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.
3. Learn Python in One Day: This is a short book recommended only if you are new to thecomputer 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.

• 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 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.

• Python 2 Course
• Python 2.7 Tutorial
• Learn Python 2

1. 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.
2. Python 2.7 Tutorial: This course’s tutorials are based on the 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.
3. 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!
• Learn Python 3 from scratch
• Learn Python 3

1. 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.
2. 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.
3. 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 programming 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
• Real Python
• Learn Python, it's cake - Udemy
• Python for entrepreneurs

1. 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.
2. 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.
3. 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.
4. 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 programming 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.
• The Python Bible™ | Everything You Need to Program in Python
• Google's Python Class
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 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.

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”] = 300print 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 tempTrue
5. Get the value of a key: Use get function for the same.print temp.get(“a”)

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.

• Python Cookbook
• Head First Python
• Learn Python the Hard Way
• 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 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.

Below are the steps to learn python programming for data science.

• 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 many 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 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 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.

• 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:
• PyCommand 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:
• https://www.anaconda.com/
• 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 choose 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 software on your system.
• Proceed to click 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 date 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 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.

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.

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 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

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.

• 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 fileIn 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 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 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.

• 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: The player gives the direction and entity is moved correspondingly. The 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.

• Learn Python the Hard Way
• scikit-learn documentation
• 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 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 the 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 program are 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
• IntroductionThis 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
• IntroductionA 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 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.