-added readme

Author: gawainchin

.DS_Store

@@ -6,10 +6,28 @@ Course materials for Venturenix Lab's Data Science course in Hong Kong
 #### Past Kaggle by students
 
 #### Python Resources
+- [Python Offical Tutorial](https://docs.python.org/3/tutorial/): A comprehensive tutorial provided from Python offical documentation.
+- [Google's Python Class](): Materials prepared by Google, including hours of lecture videos and exercises.
+- [W3resource](https://www.w3resource.com/python-exercises/): A series of useful exercises (with solutions) for Python Beginners.
+- [PEP 8](https://www.python.org/dev/peps/pep-0008/): Style Guide for Python
+- [Python2 vs Python3](https://www.geeksforgeeks.org/important-differences-between-python-2-x-and-python-3-x-with-examples/):  Difference between Python2  and Python3
+- [Object-Oriented Programming](): Introduction of OOP in Python
+
+- [Time compexity](https://wiki.python.org/moin/TimeComplexity): Understand standard Big-O at Python
+- [Pandas Tutorial](https://pandas.pydata.org/pandas-docs/stable/getting_started/10min.html): 10 minutes to pandas
+- [Numpy Tutorial](https://docs.scipy.org/doc/numpy/user/quickstart.html): Official Quickstart tutorial
+
+- [Python Environment](https://www.tutorialspoint.com/python/python_environment): Environment setting guide. e.g. environment variable
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 #### Cheat sheet
+- [Python Cheat Sheet](https://perso.limsi.fr/pointal/_media/python:cours:mementopython3-english.pdf)
+- [Pandas Cheat Sheet](https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf)
+- [Numpy Cheat Sheet](https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Numpy_Python_Cheat_Sheet.pdf)
+
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 #### Data Visualization
+- [Matplotlib](https://matplotlib.org/3.1.1/tutorials/introductory/usage.html#sphx-glr-tutorials-introductory-usage-py):Basic introduction
+- [Seaborn Tutorial](https://seaborn.pydata.org/tutorial.html) : Easy to use Data visualization tool. Build on top of matplotlib
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 #### Basic Linear Algebra, Statistics and Calculus
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