Python - 学习参考资料

官方reference：

1、Numpy的API Reference

https://docs.scipy.org/doc/numpy/reference/routines.html

2、SciPy的Turorial和API Reference

https://docs.scipy.org/doc/scipy/reference/#api-reference

3、matplotlib的User's Guide和API Reference

http://matplotlib.org/contents.html

User’s Guide

• Introduction
• Installing
• Tutorials
• Working with text
• Colors
• Customizing matplotlib
• Interactive plots
• Selected Examples
• What’s new in matplotlib
• GitHub Stats
• License
• Credits

4、matplotlib的Tutorials。含Introductory, Intermediate, Advanced

http://matplotlib.org/users/tutorials.html

其他学习教程：

1、Nicolas P.Rougier很好的matplotlib教程

https://github.com/rougier/matplotlib-tutorial

2、Nicolas P.Rougier的 Numpy turorial

http://www.labri.fr/perso/nrougier/teaching/numpy/numpy.html

3、Rougier的Numpy-100

https://github.com/rougier/numpy-100/blob/master/100%20Numpy%20exercises.md

4、Rougier的from python to numpy

http://www.labri.fr/perso/nrougier/from-python-to-numpy/

5、matplotlib英文Reference的中文翻译

http://blog.csdn.net/wizardforcel/article/category/6648262/2

6、用Python做科学计算

http://old.sebug.net/paper/books/scipydoc/index.html

 7、pyparsing词法分析

https://pythonhosted.org/pyparsing/

http://pyparsing.wikispaces.com/HowToUsePyparsing

http://infohost.nmt.edu/tcc/help/pubs/pyparsing/web/index.html

8、scrapy爬虫

Scrapy:           https://doc.scrapy.org/en/latest/

beautiful soup: https://www.crummy.com/software/BeautifulSoup/bs4/doc/index.html