Python Description documentation/tutorial links for some packages

1.numpy Package:

From "Doing scientific calculations with Python" http://sebug.net/paper/books/scipydoc/numpy_intro.html (Chinese version)

From Turing Community: http://www.ituring.com.cn/minibook/804 (Chinese version)

From Scipy:http://wiki.scipy.org/tentative_numpy_tutorial (English version)

2.pandas Package:

Official website: http://pandas.pydata.org/pandas-docs/stable/index.html

10 minutes Pandas (from official website):

Http://pandas.pydata.org/pandas-docs/stable/10min.html (English version)

Http://www.cnblogs.com/chaosimple/p/4153083.html (Chinese version translation)

Pandas Foundation (blog of Bo Friends): http://my.oschina.net/lionets/blog/277847 (Chinese version)

Pandas data Normalization (Bo Friends blog): http://my.oschina.net/lionets/blog/279785 (Chinese version)

3.sklearn Package:

This is needless to say, the official website of the most complete: http://scikit-learn.org/stable/. Large and small machine learning packages as well as dimensionality reduction, feature extraction, calculation score, model selection, integration classifier and so on a lot of good information, can be found through the catalogue: http://scikit-learn.org/0.15/user_guide.html,http:// Scikit-learn.org/stable/modules/classes.html#module-sklearn.linear_model

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Tool article:

T1.crfsuite:

One of the CRF tools crfsuite, a tool that works better than crf++, with block analysis as an example: http://www.chokkan.org/software/crfsuite/tutorial.html,http:// Www.chokkan.org/software/crfsuite/manual.html

crf++, official website: http://taku910.github.io/crfpp/,0.58 version download (sometimes in the official website download not down, and sometimes version): HTTP://PAN.BAIDU.COM/S/1C0NJ7IW

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In the course of the encounter, to continue to increase. Bo Friends If you see good documents, also welcome the recommendation.

The best documentation, of course, is

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Python Description Documentation/tutorial links for some packages