DataScienceAI Python

• 11 IPython Tutorial for Data Science and Machine Learning: This is a collection of 10 great GitHub repositories focusing on IPython, TensorFlow, Theano and related topics, for data scientists. The last one is not on GitHub.

Matplotlib

• Effectively Using Matplotlib: This post will show how I use matplotlib and provide some recommendations for users getting started or users who have not taken the time to learn matplotlib.

• Matplotlib Tutorial By Nicolas P.Rougier

• The Architecture of Open Source Applications - Matplotlib 章节

Numpy

• BroadCasting: 2015-Broadcasting arrays in Numpy、Broadcasting Docs

• Python Numpy Tutorial by CS231n

• NumPy User Guide

• Python Numpy Tutorial

• NumPy Tutorial: Array Computing in Python

• Python Data Science Handbook: The Basics of NumPy Arrays

• 2017-Working With Numpy Matrices: A Handy First Links: This introductory tutorial does a great job of outlining the most common Numpy array creation and manipulation functionality. A good post to keep handy while taking your first steps in Numpy, or to use as a handy reminder.

NLP

• SKLearn - Working with Text Data

• Part 1: For Beginners - Bag of Words

Gensim

• Gensim Tutorial: The tutorials are organized as a series of examples that highlight various features of gensim. It is assumed that the reader is familiar with the Python language, has installed gensim and read the introduction.

• fastText : Library for fast text representation and classification.

spaCy

• NLP concepts with spaCy: The aim of this notebook is to introduce a few simple concepts and techniques from NLP.

• 2017-SciPy Cheat Sheet: Linear Algebra in Python

Pandas

• How to rewrite your SQL queries in Pandas, and more: You may end up with CSV files, plain text, Parquet, HDF5, and who knows what else. This is where Pandas library shines.

• 2017-Pandas Cheat Sheet: Data Wrangling in Python