README.md

WELCOME

This is a set of useful resources for python learning.

I highly recommend the Jupyter Notebook(interactive data science and scientific computing tool).

For anyone who want to share and view jupyter notebook, nbviewer can be an efficient tool.

Part 1 DOCUMENTATIONS

*Docs in compute science maybe one of the most valuable resources for people who wanna walk into the filed.

1. Python Documentaion

https://www.python.org/doc/

2. Numpy Reference

http://docs.scipy.org/doc/numpy/reference/

3. Pandas Reference

http://pandas.pydata.org/pandas-docs/stable/

4. Matplotlib Reference

http://matplotlib.org/contents.html

*Matplotlib is a very effective and deliberate pakcage in data visualization. *

5. NLTK Reference

http://www.nltk.org/

NLTK is an abbreviation for Natural Language Toolkit which is very powerful and easy-using toolkit in NLP(Natural Language Processing)

Part 2 PUBLIC COURSES

1. Free: Intro to Programming：Python (Udacity)

This is a fundanmental Python Course from OOP(Obeject-Oriented Programming) perspective.

2. Free: Intro to Data Analysis (Udacity)

This is a preliminary course for Data Analysis with powerful Python packages such as Numpy/Pandas.

3. Free: Intro to Python for Data Science (DataCamp)

Python is a general-purpose programming language that is becoming more and more popular for doing data science...

Part 3 BOOKS

1. Learning Python, 5th Edition

2. 用Python进行自然语言处理

3. Python Data Visualization Cookbook

4. 利用Python进行数据分析

Part 4 WEBSITES

1. Python 3 - Xuefeng Liao (Chinese)

Xuefeng Liao is a technology evanglist esp python programming. All python beginner (esp Chinese) would ever be familiar with him.

2. KDnuggets (English)

KDnuggets™ is a leading site on Business Analytics, Big Data, Data Mining, Data Science, and Machine Learning and is edited by Gregory Piatetsky-Shapiro (email to editor1 at kdnuggets) and Matthew Mayo (email to mattmayo at kdnuggets). via KDnuggets

3. FlowingData (English)

FlowingData explores how statisticians, designers, data scientists, and others use analysis, visualization, and exploration to understand data and ourselves. via FlowingData

Part 5 CONTESTS

As the saying goes 'Pratice Makes Perfect !'

1. Kaggle (Google)

Kaggle is a platform for predictive modelling and analytics competitions in which statisticians and data miners compete to produce the best models for predicting and describing the datasets uploaded by companies and users. via Wikipedia

2. Tianchi (Alibaba)

Learn , explore and accomplish in Data Science with Tianchi. Be ready to be the next Data Scientist.

Last updated: 2018.02.14