Preface

About

This is a collection of Python learning resources. Many of the resources, especially the beginner ones, are free.

For a curated list of frameworks, libraries, software, etc, see awesome-python

Disclaimer and Disclosure

I don't have personal experience with majority of the resources mentioned here. I have collected them from various recommendation threads on Reddit, Hacker News, Stackexchange sites, Twitter, GitHub, etc.

Python re(gex)? and 100 Page Python Intro are my own books.

Table of Contents

• Beginner resources
  • New to programming
  • New to Python
  • Courses with certificates
  • Exercises
  • Projects
  • Debugging
  • Tools, IDE and Text Editors
  • Cheatsheets
  • Documentation and getting help
• Specific features
  • Async and concurrency
  • Command line applications
  • Context managers
  • Decorators and closures
  • Iterables, Generators, Yield, Itertools
  • Lambda
  • Lists and comprehensions
  • Memoization
  • OS interaction
  • Profiling code and speeding up Python
  • Regular Expressions
  • Virtual Environments and Packaging
• Intermediate to Advanced resources
  • Intermediate
  • Testing
  • Algorithms and data structures
  • Design patterns
  • Advanced
• Domain specific resources
  • Bioinformatics
  • Data Science
  • GUI and Games
  • Machine Learning
  • Robotics and Computer Vision
  • Scientific computing
  • Web development

Acknowledgements

• mdBook
• mdBook-pagetoc
• minify-html
• Warning and Info icons by Amada44 under public domain
• Inkscape
• svgcleaner

License

This work is licensed under a Creative Commons Zero v1.0 Universal License