What are some interesting Python modules to recommend?

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Several recently used:
Automated charts for Matplotlib:python plotting , as vulgar as I can kill the chart of Excel
Lightweight Demo Artifact Welcome | Flask (A Python microframework) , Django, bye.
DM Pre-research with Scikit-learn:machine learning in Python
Very fun theme Model implementation Gensim:topic modelling for humans

cTYPES, nltk What do not say, lest be said to the Earth, although the use of still quite a lot of ... Many of the following are not Python modules:


Bastard Series
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the illegitimate child of Python and Lisp:
Welcome to Hy ' s documentation!
If you knew Lisp, you'd know how cute this stuff is.
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The illegitimate child of Python and Excel VBA:
Python in Excel
Use Python to get your Excel up and flying.
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Python does not need the wife of AutoCAD, you can give birth to the illegitimate child of DXF.
EZDXF 0.7.0 Documentation
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Python can also be someone's illegitimate child:
Aardio

With this goods, writing desktop programs do not need you to learn the ancient TK, the huge QT, directly drag the interface or with the HTML interface or write interface with Flash or ...
You can also have C + + code. NET Code, PHP code, lisp code, Python code, its own Aardio code into 1 programs for you to serve, all said Python is the glue language, I think this goods is glue of glue.
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python because it is beautiful (officially "elegant"), "Microsoft" this big Fat xx
Ironpython-home
=====================================python Resource Encyclopedia -Python module Daquan, python data Vinta/awesome-python GitHub
A variety of interesting modules have been sorted out to see how you define the fun.
If it means something new and fun. I think of the following ~
Sometimes meeting those who can simplify our work of the library, will also be sincere smile feel pythonic, also feel interesting, can refer to my other answer in Python which libraries let you brief Encounter?
    • First of all, of course python built-in Eggs > import this
the Zen of Python, by Tim Peters

Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
    • Faker
This library is used to forge data, such as name, address, telephone, etc.
A library for generating fake data such as names, addresses, and phone numbers
    • Before it seems to be in the blog to see a more spoof module girlfriend, now PyPI seems to have no

    • Pydown
Use Python to make HTML-based PPT
    • Vim
If you are the VIM party, you can use Python to write your own vim plugin, import vim in the plugin, you can use Python and vim interaction, two days ago wrote a View Pelican blog in vim, and put it in markdown format display plug-in, It's pretty quick, it's handy.
    • Lassie
Help you quickly retrieve content from a Web page
    • Pipe
A Python library to use infix notation in Python
As the name implies-if you like the pipeline mechanism under Linux (I really like the design of plumbing), then you will also like this library
    • Twosheds
About Shell,zsh is certainly good enough. If you like to toss and hack your shell environment, you can try it
    • Pyquery
I like the jquery,pyquery to let you parse HTML using a jquery-like syntax.
    • Geeknote
Finally pull a somewhat biased, not the Python library, is written in Python, Evernote shell client, I am Evernote's heavy users, like to put the data on top, sometimes operate the server, no graphical interface, encountered problems think Evernote has a record solution , want to see it, use it, the search function is very powerful

Go to GitHub and there are lots of fun things to do on top! AntiGravity ... Before doing the game, used a graphical module. Pygame a small recommendation.
Mobile client can't even map ...
----------------------------------------------------found the phone can be mapped!
Be decisive on two cards!

Do it yourself Oh! The game pictures come from the footage. The font is ugly, forgive me. In addition csdn has source download. It's called the Python version flappybird!. __future__scapy Numerical calculation: NumPy + scipy

Drawing: Matplotlib

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