版本195和212间的区别 (跳过第17版)

Python

Python

Python介绍

1. Python入门教程

已经过时的教程（基于已经淘汰的Python 2）：

另类的Python教程：我的名字叫Python.pdf （太古老，已过时）
Python Short Course by Richard P. Muller （太古老，已过时）
The LiveWires Python Course 已过时
Handbook of the Physics Computing Course 已过时
Python入门

2. 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
- PyPy Speed
Hylang A dialect of Lisp that's embedded in Python

3. Python开发环境

Mac上Python环境准备： https://sourabhbajaj.com/mac-setup/Python/
One Day of IDLE Toying (中文版: 摆弄一天IDLE)
Using IDLE by Daryl Harms
Pipenv & Virtual Environments
Why you should use pyenv + Pipenv for your Python projects
Advanced Usage of Pipenv
poetry
pyflow
hatch
flit
briefcase
Python's New Package Landscape
PyPA
warehouse

4. Python语法

5. 代码风格

6. 参考资料

7. Python库

7.1. 标准库

Python Library Reference

7.2. GUI Toolkit

wxpython http://www.wxpython.org/
PyGtk
Kivy 基于OpenGL ES的移动端、桌面端GUI开发库
使用PyQt编写QT图形界面程序 http://www.riverbankcomputing.co.uk/pyqt/
PyQT vs PySide2

7.3. DB

ElasticSearch DSL

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

pywin32 http://sourceforge.net/projects/pywin32/
comtypes http://starship.python.net/crew/theller/comtypes/
python 与 COM Advanced Python and COM
使用_winreg模块操纵windows注册表
将python程序打包成windows下可以执行的exe文件：使用py2exe模块
在.net平台上使用python：IronPython

7.7. Mac

Py2app

7.8. 多媒体

图像获取：linux平台下使用sane模块，Windows平台下使用twain模块
- TWAIN
图像处理PythonImageLibrary中文手册
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

7.9. 游戏

pygame: http://www.pygame.org/
- Pygame
panda3d: http://www.panda3d.org/
renpy: http://www.renpy.org/wiki/renpy/Home_Page
pyopengl http://pyopengl.sourceforge.net/

7.10. 字符串

Unicode Howto
http://docs.python.org/lib/module-re.html
http://www.amk.ca/python/howto/regex/
Mastering Regular Expressions 2nd Edition, By Jeffrey E. F. Friedl
Click 命令行参数处理

7.11. 数据处理

7.12. 其它

python-ldap http://www.python-ldap.org/
- PythonLdap
读取excel：用xlrd包。把excel转成csv，使用csv库操作。
加密：Python Cryptography Toolkit http://www.amk.ca/python/code/crypto
Spring Python: 为什么Python不需要像Spring这样的东西？
PLY Python Lex-Yacc

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代码片段

-  ⇤ ← 于2020-04-19 21:39:01修订的的版本195 → 
  大小: 12170
  编辑: czk
  备注:
+   ← 于2020-06-05 17:12:03修订的的版本212 → ⇥
  大小: 13103
  编辑: czk
  备注:
-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/
 * [[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]]
+ * [[Python介绍]]
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+ * [[https://inventwithpython.com/|Invent with Python]]
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+ * [[http://www.norvig.com/python-lisp.html|Python for Lisp Programmers]]
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+== 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]]
 * [[https://briefcase.readthedocs.io/en/latest/|briefcase]]
 * [[http://andrewsforge.com/article/python-new-package-landscape/|Python's New Package Landscape]]
 * [[https://www.pypa.io/en/latest/|PyPA]]
 * [[https://github.com/pypa/warehouse|warehouse]]
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+ * [[http://en.wikipedia.org/wiki/Python_syntax_and_semantics|Python语法]] from Wikipedia
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+行号 89:
+ * [[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]]
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+ * [[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]]
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+ * [[https://click.palletsprojects.com/en/7.x/|Click]] 命令行参数处理
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+ * [[https://pytorch.org/|PyTorch]]
 * [[https://scikit-learn.org/stable/|Scikit-Learn]]
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+ * [[http://www.dabeaz.com/ply/ply.html#ply_nn2|PLY]] Python Lex-Yacc

"Python"版本比较

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

7.1. 标准库

7.2. GUI Toolkit

7.3. DB

7.4. 网络

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