Python It's one of the most popular languages in the world , Already exceeded java, Second place . Even more surprising ,Python Is the language developers want to try most . If you are a user Python Developers of , And hope to improve their technical level , Or you want to learn Python, So you're in the right place .
Python Development of resources ：Python frame 、 library 、 Software and resource selection list .
（https://github.com/vinta/awesome-python）
This list has a Chinese version , We have specially recommended ：
https://github.com/jobbole/awesome-python-cn
Python Resource selection list 2： A carefully selected group Python frame 、 library 、 List of software and resources .
（https://github.com/trananhkma/fucking-awesome-python）
Python Select apps ： nearly 400 Open source Python Applications , Display by theme , With the use of apatite Code base generated from structured data 、 Documents, etc .
（https://github.com/mahmoud/awesome-python-applications）
Pytorch： And Pytorch Related libraries ,Pytorch It is a famous machine learning framework for tensor and dynamic neural networks .
（https://github.com/bharathgs/Awesome-pytorch-list）
Python asynchronous ： Carefully selected Python Asynchronous framework 、 library 、 Software and resource list .
（https://github.com/timofurrer/awesome-asyncio）
Jupyter： It's amazing Jupyter project 、 A list of libraries and resources . You can use Jupyter Create and share real-time code 、 Equation 、 Visualization 、 Text, etc Python file .
（https://github.com/markusschanta/awesome-jupyter）
Python book : of Python The best book list for ！
（https://github.com/Junnplus/awesome-python-books）
Python guide ： About Python Daily installation 、 Best Practices Manual for configuration and use , Include pip、numpy、virtualenv Etc .
（https://github.com/realpython/python-guide）
Python A concise tutorial ： For beginners Python course , You just need to know how to save a saved text file to start learning .
（https://github.com/swaroopch/byte-of-python）
Cosmic Python： With python Application architecture pattern to manage complexity ,O’Reilly Free books ！
（https://github.com/cosmicpython/book）
Python machine learning ： The library contains the classic machine learning tutorials Notebook Code .
（https://github.com/rasbt/python-machine-learning-book-3rd-edition）
Python Classic programming interview questions ： classical Python Programming interview question sets , Please don't cheat ！
（https://github.com/StBogdan/CTCI_python）
Python Interactive programming questions ： Use Anki Learning cards provide 120 Multiple continuous updates 、 Interactive 、 Test driven programming interview questions .
（https://github.com/donnemartin/interactive-coding-challenges）
Python Interview question set ：Python Questions often encountered in interviews .
（https://github.com/sigmavirus24/python-interview-questions）
Python Interview question set 2： additional 300 Multiple Python Interview questions .
（https://github.com/learning-zone/python-interview-questions）
Python Data structure and algorithm ：Python 3 Data structure and algorithm of , The most simple 、 The cleanest implementation , Obtained 1.8 Ten thousand stars ！
（https://github.com/keon/algorithms）
Udemy Algorithm 、 Data structure and interview course ： The library contains Udemy The course comes with notebook, Can help you prepare for an interview .
（https://github.com/jmportilla/Python-for-Algorithms–Data-Structures–and-Interviews）
Python Algorithm ： Implementation of algorithms and data structures , Happy learning ！
（https://github.com/prakhar1989/Algorithms）
GitHub Of Python Trend list ：GitHub Provided Python Popular code base .
（https://github.com/trending/python）
PEP 8–Python Style guide checker ： The tool can follow PEP 8 Style conventions check your Python Code .
（https://github.com/treyhunner/pep8）
Google Style guide ：Google The recommended Python Style guide .
（https://github.com/google/styleguide）
Python Enhancement suggestions ：Python Enhancement suggestions ,PEP Official index .
（https://github.com/python/peps）
Python Koans： An interactive tutorial , You can learn by testing Python, An introduction to test driven development .
（https://github.com/gregmalcolm/python_koans）
Project based learning ： List of project oriented programming tutorials , Including building web crawling tools 、 App robots, etc .
（https://github.com/tuvtran/project-based-learning#python）
adopt JupyterNotebook Study Python 3： Through a series of interactions Jupyter Notebook Teach you to learn Python 3.
（https://github.com/jerry-git/learn-python3）