Commonly used python's built-in library or third-party libraries

Built-in library:
 Re, json, Time, Random, SYS, os, 

third-party libraries:
 reprint:https://www.cnblogs.com/jiangchunsheng/p/9275881.html
Requests Kenneth Reitz wrote most prestigious http library. Every Python programmer should have it. 
If you do Scrapy reptile related work, then this library is essential. After using it you will not think of anything else with the same library. 
a GUI wxPython Python (Graphical User Interface) tool. I mainly use it to replace tkinter. You'll love it. 
Pillow It is a friendly branch PIL (Python Graphics Library) is. For more user-friendly than the PIL, for any person working in the field of graphics library is a must. 
SQLAlchemy a library database. Its assessment appraise mixed. A decision whether to use your hands. 
BeautifulSoup I know it is very slow, but the xml and html parsing library is very useful for the novice. 
Twisted most important tool for web application developers. It has a very beautiful api, Daniel is using a lot of Python development. 
NumPy us how can the lack of such an important library? It offers a lot of advanced mathematical methods to Python. 
SciPy Since we mention NumPy, I would have to mention SciPy. This is a Python library of algorithms and mathematical tools, its function to attract many scientists from Ruby to Python. 
matplotlib a library data plotted in FIG. Very useful for data scientists or analysts.
Which Pygame programmers do not like to play games and write game? This library will make you even more powerful in the development of 2D games of time. 
Pyglet 3D animation and game development engine. Very famous Python version of Minecraft is to use this engine to do. 
pyQT Python GUI tool. This is my time to the Python script development wxPython user interface inferior choice. 
pyGtk also Python GUI library. Well-known Bittorrent client is done with it. 
Scapy written in Python packet detection and analysis library. 
pywin32 a Python library and windows provide interactive methods and classes. 
nltk Natural Language Toolkit. I know most people will not use it, but its versatility is very high. If you need to deal with a string of words, it is a very good library. But it's much more than that, their own way about it. 
nose Python testing frameworks. By thousands of Python programmers. If you do test-driven development, it is essential. 
SymPy SymPy can do algebraic evaluation, differentiation, expansion, complex, and so on. It is packaged in a pure Python release version. 
IPython how praised feature of this tool can not be overemphasized. It Python prompt information to achieve the ultimate. Including complete information, historical information, shell functions, and many, many other aspects. Be sure to look at it.