Python常用的标准库以及第三方库有哪些？

回复内容： 只介绍我用过觉得有强烈推荐欲望的几个

=====================标准库
* http:// docs.python.org/library /argparse.html
写命令行脚本必备，可惜是2.7才添加的，得看具体环境了…

* http:// docs.python.org/library /htmlparser.html
解析HTML DOM树，偶尔搞搞命令行自动表单提交用得上。感觉不好用但是毕竟是官方库

=====================第三方库

* http:// pypi.python.org/pypi/sh
简直是系统管理神器，谁用谁知道

* http:// pypi.python.org/pypi/su ds
轻量的SOAP客户端，如果贵厂内部有用SOAP接口，那这个几乎是必须了

* http:// pypi.python.org/pypi/re quests
这个HTTP lib的名字叫Python HTTP for Human。用过urllib、urllib2、httplib的人，你懂的

* http:// pypi.python.org/pypi/pe lican
* http:// pypi.python.org/pypi/Ma rkdoc
前者是静态博客生成器（写markdown文本，然后自动转换成html静态文件），后者是文档生成器（以前拿这个做wiki用）

* http:// pypi.python.org/pypi/pe p8
检查Python脚本是否符合PEP8的style guide

* http:// pypi.python.org/pypi/Py gments
语法高亮的lib，很多ruby项目用的都是这个python lib来做语法高亮的

其他想到了再补充吧 我也来几个吧
standard libs:
itertools http:// docs.python.org/2/libra ry/itertools.html
functools http:// docs.python.org/2/libra ry/functools.html 学好python有必要掌握上面这两个库吧， re 正则 subprocess http:// docs.python.org/2/libra ry/subprocess.html 调用shell命令的神器 pdb 调试 traceback 调试 pprint 漂亮的 输出 logging 日志 threading和multiprocessing 多线程 urllib/urllib2/httplib http库，httplib底层一点，推荐第三方的库requests os/sys 系统，环境相关 Queue 队列 pickle/cPickle 序列化工具 hashlib md5, sha等hash算法 cvs json/simplejson python的json库，据so上的讨论和benchmark，simplejson的性能要高于json timeit 计算代码运行的时间等等 cProfile python性能测量模块 glob 类似与listfile，可以用来查找文件 atexit 有一个注册函数，可用于正好在脚本退出运行前执行一些代码 dis python 反汇编，当对某条语句不理解原理时，可以用dis.dis 函数来查看代码对应的python 解释器指令等等。
3th libs:
paramiko https:// github测试数据/paramiko/par amiko ssh python 库 selenium https:// pypi.python.org/pypi/se lenium 浏览器自动化测试工具selenium的python 接口 lxml http:// lxml.de/ python 解析html,xml 的神器 mechanize https:// pypi.python.org/pypi/me chanize/ Stateful programmatic web browsing
pycurl https:// pypi.python.org/pypi/py curl cURL library module for Python Fabric http:// docs.fabfile.org/en/1.8 / Fabric is a Python (2.5 or higher) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks.
xmltodict https:// github测试数据/martinblech/ xmltodict xml 转 dict，真心好用 urllib3 和 requests: 当然其实requests就够了 Requests: HTTP for Humans flask http:// flask.pocoo.org/python web 微框架 ipdb 调试神器，同时推荐ipython！结合ipython使用 redis redis python接口 pymongo mongodbpython接口 PIL http://HdhCmsTest pythonware测试数据/products /pil/ python图像处理 mako http://HdhCmsTest makotemplates.org/ python模版引擎 numpy ， scipy 科学计算 matplotlib 画图
scrapy 爬虫 django/tornado/web.py/web2py/uliweb/flask/twisted/bottle/cherrypy.等等 python web框架/服务器 sh 1.08 — sh v1.08 documentation 用来运行shell 模块的 极佳选择

暂时记得这么多吧，不过都是我自己常用的库 :) 。。欢迎补充

UPDATE:
A curated list of awesome Python frameworks, libraries and software.

vinta/awesome-python · GitHub

几乎所有很赞的 python 库，和框架都在这个列表里。

其他的 awesome list：
bayandin/awesome-awesomeness · GitHub 原生：
系统调用的subprocess
多线程的multiprocessing

第三方：
系统管理推荐fabric和salt
WEB框架推荐flask和tornado
ORM推荐SQLAlchemy Python资源大全 去这个地方看看，Python常用模块基本都包括啦，而且还有很多学校资料 功能型的都是各取所需 就说些好用的吧

Tornado： 和其他Python框架的架构可谓大相径庭，Request的处理方式也很舒服，特别适合REST，谁用谁知道

Mako： 个人认为是最好的Template，简单 性能好

SQLAlchemy: 快一统ORM了吧

Quixote：其实还是蛮好用的

pyQuery: 用jQuery的语法写爬虫 略爽

gevent。。。。。 推荐两个 BeautifulSoup 和 IMage

20 Python libraries you can't live without

By Yasoob ?
wordpress测试数据 ? July 30, 2013

Hi there fellas. Today i am going to list 20 python libraries which have been a part of my toolbelt and should be a part of yours as well. So here they are:

1. Requests . The most famous http library written by kenneth reitz. It’s a must have for every python developer.

2. Scrapy . If you are involved in webscraping then this is a must have library for you. After using this library you won’t use any other.

3. wxPython . A gui toolkit for python. I have primarily used it in place of tkinter. You will really love it.

4. Pillow . A friendly fork of PIL (Python Imaging Library). It is more user friendly than PIL and is a must have for anyone who works with images.

5. SQLAlchemy . A database library. Many love it and many hate it. The choice is yours.

6. BeautifulSoup . I know it’s slow but this xml and html parsing library is very useful for beginners.

7. Twisted . The most important tool for any network application developer. It has a very beautiful api and is used by a lot of famous python developers.

8. NumPy . How can we leave this very important library ? It provides some advance math functionalities to python.

9. SciPy . When we talk about NumPy then we have to talk about scipy. It is a library of algorithms and mathematical tools for python and has caused many scientists to switch from ruby to python.

10. matplotlib . A numerical plotting library. It is very useful for any data scientist or any data analyzer.

11. Pygame . Which developer does not like to play games and develop them ? This library will help you achieve your goal of 2d game development.

12. Pyglet . A 3d animation and game creation engine. This is the engine in which the famous python port of minecraft was made

13. pyQT . A GUI toolkit for python. It is my second choice after wxpython for developing GUI’s for my python scripts.

14. pyGtk . Another python GUI library. It is the same library in which the famous Bittorrent client is created.

15. Scapy . A packet sniffer and analyzer for python made in python.

16. pywin32 . A python library which provides some useful methods and classes for interacting with windows.

17. nltk . Natural Language Toolkit – I realize most people won’t be using this one, but it’s generic enough. It is a very useful library if you want to manipulate strings. But it’s capacity is beyond that. Do check it out.

18. nose . A testing framework for python. It is used by millions of python developers. It is a must have if you do test driven development.

19. SymPy . SymPy can do algebraic evaluation, differentiation, expansion, complex numbers, etc. It is contained in a pure Python distribution.

20. IPython . I just can’t stress enough how useful this tool is. It is a python prompt on steroids. It has completion, history, shell capabilities, and a lot more. Make sure that you take a look at it.

https:// freepythontips.wordpress测试数据 /2013/07/30/20-python-libraries-you-cant-live-without/ requests 好用的让人想哭 一个memo: https:// github测试数据/fengsp/easy- python
或者直接: http:// easy-python.readthedocs.org / 我也来说两个：
操作系统相关的os库
python程序本身相关的sys库
配置文件解析的ConfigParser库
redis python客户端pyredis
另外还有itertool，subprocess等

web框架：web.py flask django

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