版本165和210间的区别 (跳过第45版)
⇤ ← 于2020-04-02 22:27:51修订的的版本165 →
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备注:
← 于2020-06-05 17:09:32修订的的版本210 → ⇥
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编辑: czk
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删除的内容标记成这样。 加入的内容标记成这样。
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<<Include(Python介绍)>>

参考：
 * [[http://en.wikipedia.org/wiki/Python_%28programming_language%29|Wikipedia:Python_programming_language]] ([[http://zh.wikipedia.org/wiki/Python|Wikipedia上的Python编程语言简介]])
 * [[http://www.python.org/|Python Official Web]]
 * [[http://en.wikipedia.org/wiki/Python_syntax_and_semantics|Python语法]] from Wikipedia
 * [[http://www.linuxjournal.com/article/3882|Why_Python]] by Eric Raymond [[http://blog.sina.com.cn/s/blog_53982851010008b8.html|why python中文版]]
 * [[http://www.norvig.com/python-lisp.html|Python for Lisp Programmers]]

== Python解释器 ==
 * CPython http://python.org/
 * Stackless Python http://www.stackless.com/
   * [[StacklessPython]]
 * Ironpython (Python for .Net) https://ironpython.net/
 * Jython (Python for Java) https://www.jython.org/
 * PYPY https://www.pypy.org/

== Python开发环境 ==
 * Mac上Python环境准备： https://sourabhbajaj.com/mac-setup/Python/
 * [[http://hkn.eecs.berkeley.edu/~dyoo/python/idle_intro/index.html|One Day of IDLE Toying]] (中文版: [[http://hkn.eecs.berkeley.edu/~dyoo/python/idle_intro/IDLE-chinese.htm|摆弄一天IDLE]])
 * [[http://ftp.ntua.gr/mirror/python/idle/doc/idle2.html|Using IDLE]] by Daryl Harms
 * [[https://docs.python-guide.org/dev/virtualenvs/|pipenv, virtual env]]		  * [[Python介绍]]
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 * [[https://en.wikibooks.org/wiki/Python_Programming|Python Programming - Wikibooks]]
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 * [[http://xahlee.info/python/index.html|Python by Example]] by Xah Lee
 * [[http://www.alan-g.me.uk/l2p/|Learn to Program by Alan G]]
 * [[https://inventwithpython.com/|Invent with Python]]
 * [[http://chinesepython.org/pythonfoundry/easytut.html|Python 非編程員教學]]
 * [[http://www.norvig.com/python-lisp.html|Python for Lisp Programmers]]

已经过时的教程（基于已经淘汰的Python 2）：
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 * [[http://xahlee.info/python/index.html|Python by Example]] by Xah Lee
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 * [[http://www.pentangle.net/python/handbook/|Handbook of the Physics Computing Course]] 已过时
 * [[http://www.math.pku.edu.cn/teachers/lidf/docs/Python/python-tutorial.html|Python入门]]

== Python解释器 ==
 * CPython http://python.org/
 * Stackless Python http://www.stackless.com/
   * [[StacklessPython]]
 * Ironpython (Python for .Net) https://ironpython.net/
 * Jython (Python for Java) https://www.jython.org/
 * [[https://www.pypy.org/|PyPy]]
   * [[https://speed.pypy.org/|PyPy Speed]]
 * [[http://hylang.org|Hylang]] A dialect of Lisp that's embedded in Python

== Python开发环境 ==
 * Mac上Python环境准备： https://sourabhbajaj.com/mac-setup/Python/
 * [[http://hkn.eecs.berkeley.edu/~dyoo/python/idle_intro/index.html|One Day of IDLE Toying]] (中文版: [[http://hkn.eecs.berkeley.edu/~dyoo/python/idle_intro/IDLE-chinese.htm|摆弄一天IDLE]])
 * [[http://ftp.ntua.gr/mirror/python/idle/doc/idle2.html|Using IDLE]] by Daryl Harms
 * [[https://docs.python-guide.org/dev/virtualenvs/|Pipenv & Virtual Environments]]
 * [[https://hackernoon.com/reaching-python-development-nirvana-bb5692adf30c|Why you should use pyenv + Pipenv for your Python projects]]
 * [[https://pipenv.pypa.io/en/latest/advanced/|Advanced Usage of Pipenv]]
 * [[https://python-poetry.org/|poetry]]
 * [[https://github.com/David-OConnor/pyflow|pyflow]]
 * [[https://github.com/ofek/hatch|hatch]]
 * [[https://github.com/takluyver/flit|flit]]
 *
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 * [[http://en.wikipedia.org/wiki/Python_syntax_and_semantics|Python语法]] from Wikipedia
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 * [[https://realpython.com/async-io-python/|Async IO in Python: A Complete Walkthrough]]
 * [[https://snarky.ca/how-the-heck-does-async-await-work-in-python-3-5/|How the heck does async/await work in Python 3.5?]]
 * [[https://rhettinger.wordpress.com/2011/05/26/super-considered-super/|Python’s super() considered super! ]]
 * [[https://docs.python.org/3/library/asyncio-task.html|Coroutines and Tasks]]
 * [[https://www.python.org/dev/peps/pep-0492/|PEP 492 -- Coroutines with async and await syntax]]
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 * [[https://www.python.org/doc/essays/styleguide/|Python Style Guide]]
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 * https://www.python.org/dev/peps/pep-0257/
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 * [[https://www.jeffknupp.com/blog/2013/08/16/open-sourcing-a-python-project-the-right-way/|Open Sourcing a Python Project the Right Way]]
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 * [[Why Python is More Productive than Java]]
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 * [[http://www.linuxjournal.com/article/3882|Why_Python]] by Eric Raymond [[http://blog.sina.com.cn/s/blog_53982851010008b8.html|why python中文版]]

 * [[https://woodpecker.org.cn/|WoodPecker中文社区]]
 * [[https://www.reddit.com/r/programming/comments/eroi/of_snakes_and_rubies_or_why_i_chose_python_over/|Of snakes and rubies; Or why I chose Python over Ruby]]
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 * [[http://www.pentangle.net/python/handbook/|Handbook of the Physics Computing Course]]
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 * [[https://pythonconquerstheuniverse.wordpress.com/2009/10/03/python-java-a-side-by-side-comparison/|Python & Java: A Side-by-Side Comparison]]
 * [[https://book.douban.com/subject/1241032/|Jython程序设计]]
 * [[https://lists.ubuntu.com/archives/ubuntu-devel/2020-February/040918.html|Python2 removal for Ubuntu focal]]
 * [[https://app.getpocket.com/read/2956522352|Python 2.7.18, the end of an era]]
 * [[http://python-future.org/|Easy, clean, reliable Python 2/3 compatibility]]
 * [[https://computers-are-fast.github.io/|Do you know how much your computer can do in a second?]]
 * [[https://medium.com/@jherreras/python-microlibs-5be9461ad979|Python Microlibs]]
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=== DB ===

 * [[https://elasticsearch-dsl.readthedocs.io/en/latest/|ElasticSearch DSL]]

=== 网络 ===

 * [[https://github.com/MagicStack/uvloop|uvloop]]: asyncio + libuv + Cython，再配上httptools做HTTP parser，从[[https://magic.io/blog/uvloop-blazing-fast-python-networking/|benchmark]]看起来性能非常强劲。
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 * [[https://wiki.python.org/moin/WebProgramming|WebProgramming - Python Wiki]]
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=== 图像 === === Mac ===
 * [[http://undefined.org/python/py2app.html|Py2app]]

=== 多媒体 ===
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   * [[http://twainmodule.sourceforge.net/|TWAIN]]
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=== python游戏相关 ===		  * 通过ffmpeg处理视频、音频 https://github.com/kkroening/ffmpeg-python
 * PyDUB：在python中直接处理音频 https://github.com/jiaaro/pydub

=== 游戏 ===
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=== Python与正则表达式 ===
 === 字符串 ===

 * [[https://docs.python.org/3/howto/unicode.html|Unicode Howto]]
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=== Python数据处理 ===
  * [[https://click.palletsprojects.com/en/7.x/|Click]] 命令行参数处理

=== 数据处理 ===

 * [[https://numpy.org/|numpy]]
 * [[https://www.scipy.org/|scipy]]
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 * [[https://pytorch.org/|PyTorch]]
 * [[https://scikit-learn.org/stable/|Scikit-Learn]]
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 * [[http://springpython.webfactional.com/|Spring Python]]: 为什么Python不需要像Spring这样的东西？
 * [[http://www.dabeaz.com/ply/ply.html#ply_nn2|PLY]] Python Lex-Yacc

Python

目录

  1. Python
    1. Python入门教程
    2. Python解释器
    3. Python开发环境
    4. Python语法
    5. 代码风格
    6. 参考资料
    7. Python库
      1. 标准库
      2. GUI Toolkit
      3. DB
      4. 网络
      5. Web 开发
      6. Windows
      7. Mac
      8. 多媒体
      9. 游戏
      10. 字符串
      11. 数据处理
      12. 其它
    8. Python的字符编码处理

1. Python入门教程

已经过时的教程（基于已经淘汰的Python 2）：

2. Python解释器

3. Python开发环境

4. Python语法

5. 代码风格

6. 参考资料

7. Python库

7.1. 标准库

7.2. GUI Toolkit

7.3. DB

7.4. 网络

  • uvloop: asyncio + libuv + Cython，再配上httptools做HTTP parser，从benchmark看起来性能非常强劲。

7.5. Web 开发

7.6. Windows

7.7. Mac

7.8. 多媒体

7.9. 游戏

7.10. 字符串

7.11. 数据处理

7.12. 其它

8. Python的字符编码处理

对于中文用户，特别需要关注Python的编码技术. 列举一些常用的技巧。 

chr(i): 将一个0到255的整数转换为一个字符.
ord(c): 返回单个字符c的整数顺序值.普通字符返回[0,255]中的一个值,Unicode字符返回 [0,65535]中的一个值
unichr(i): 将一个0到65535的整数转换为一个Unicode字符
  • 代码中的编码设置，应该在代码最初两行内包含： 

# -*- coding: UTF-8 -*-
  • 获得/设置系统的缺省编码 

sys.getdefaultencoding()

sys.setdefaultencoding('utf-8')
  • 获得文件系统的文件名的编码 

sys.getfilesystemencoding()
  • 获得当前终端的输入、输出编码 

      sys.stdout.encoding

      sys.stdin.encoding
  • 编码转换（先转换为unicode，再转换为具体的编码），有两种方法： 

      unicode('abc', 'mbcs').encode('utf-8')

      'abc'.decode('mbcs').encode('utf-8')

Python (2020-06-05 17:12:03由czk编辑)

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