前言：这篇文章是“learn by example”整理的Python资源列表。你会看到文章内有很多英文没有翻译，那是因为本人暂时没有多余的时间，只把主要的枝干汉化了下。如果你喜欢这里列出的资源并且想利用它学习和提升自己的Python编程能力，这篇文章就到位了。有多余时间或者感兴趣的朋友欢迎在GitHub上点击fork本资源进行翻译（甚至一些补充和修改），然后提交合并请求。
Python 3 资源，除非特别指明
看看Python官方网站的 Basic concepts and features tutorial 和 Getting Started
目录
- Courses – 线上文本/pdf教程
- Courses – 线上视频/交互式教程
- 书籍
- 文档与Cheat-Sheets
- 建议和技巧
- 简单概念的深入分析/教程
- 便利工具
- 进一步阅读
- 其他Python资源列表
- 实战/编程挑战
- 提供解决方案的编程问题/项目
- 开发环境
- 论坛
Courses – 线上文本/pdf教程
- automatetheboringstuff
- 访问inventwithpython获取这个作者更多的资料
- Think Python – 可获取pdf
- diveintopython – 可获取pdf
- A Whirlwind Tour of Python
- A Byte of Python – 可获取pdf
- Python Informatics
- Python for you and me
- python-course
- Non-Programmer’s Tutorial for Python 3 – 可获取pdf
- 练习书 – Python 2，每个主题都有很好的练习
快速指南
Courses – 线上视频/交互式教程
- udemy – automatetheboringstuff
- coursera – getting started with Python
- edx – intro to computer science as a tool to solve real-world analytical problems
- pythonprogramming
- learn Python through challenging problems
- youtube – Python programming
- Google – Python 2
- youtube – learn Python 2 and make games
- Real Python – 聚焦于web开发
- newcoder – project based
- opencs – Python from scratch
- cscircles – example and exercise based
书籍
文档和Cheat-Sheets
- Python 3
- Python 2.7
- Cheat Sheet by Derek – 也有对应的video
- Python Crash Course – cheatsheet
- Scientific Python Cheatsheet
建议和技巧
- 40 handy tricks
- useful snippets
- avoiding common gotchas
- Transforming Code into Beautiful, Idiomatic Python，基于这个video
- Python tips and features on Stackoverflow
- pythontips book
- One-liners: #1, #2, #3
简单概念的深入分析/教程
- this illustration – 查看generators、 collections、itertools、decorator等等的特性
- Collections
- Decorators
- Lists
- Iterables, Generators, Yield, Itertools
- lambda – what it is and when to use
- OOP
- Python Virtual Environments
- Regular Expressions:
- official doc of re module
- regexone – interactive tutorial, also has a quick reference
- regular expressions tutorial
- shortcutfoo – you can also learn it interactively
- Python regex tutorial – from Google course
- stackoverflow – comprehensive list of regex FAQ and regex overview
- string formatting
- working with binary data
- Python Q&A on stackoverflow
- Python packaging guide
- profiling Python code for performance
便利工具
- Visualize code execution – 有示例代码，可以分享线程
- CodeSkulptor – 在浏览器上运行Python程序，包括GUI和很多demo
- regex tester – explainations on separate windows, includes quick references, ability to save and share
- Thonny – 初学者Python IDE，有很多便利的特性：查看变量、调试器、高亮语法错误、名称补全等等
进一步阅读
- Data Science
- GUI, Game and Web
- gui development tutorials
- kivy crash course
- remi module – create platform independent GUI with Python (by converting to HTML)
- Bokeh – Python interactive visualization library
- django, djangogirls and flask
- static website generators pelican and Cactus
- anvil – drag & drop web-app builder
- web product – a complete functional web app with a database and user support
- web scraping
- Testing and TDD
- Test-Driven Development with Python – focussed on Django and web-development
- learn Python via TDD
- defensive programming
- pycontracts
- is unit testing worth the effort
- Style guide
- The Hitchhiker’s Guide to Python!
- Problem solving with Algorithms and Data Structures
- realpython – blog
- Create beautiful command-line interfaces with Python
- collection of design patterns and idioms
- curated videos on Python
- github – trending Python projects and top devs and repos to follow
- A gallery of interesting IPython Notebooks
其他Python资源列表
- wiki from /r/learnpython
- github – awesome-python
- github – pycrumbs
- github – pythonidae
- stackoverflow
- zeef – alan richmond
- zeef – luis solis
- messybytes
- EDU-SIG: Python in Education
实战/编程挑战
- codewars
- adventofcode
- projecteuler
- hackerrank
- /r/dailyprogrammer
- codingbat
- exercism
- practicepython
- codeeval
- Gamification
提供解决方案的编程问题/项目
开发环境
- pycharm
- Vim – customizing .vimrc for Python and python-mode
- Jupyter – web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text
论坛
在对应的论坛提问前阅读指示。在问之前尝试解决 – 网络搜索、查看手册、问同事等等。
- /r/learnpython – very friendly for newbies
- python-forum
- /r/Python/ – general Python discussion
- stackoverflow
