Python-for-Everybody

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My notes and assignment solutions for Python for Everybody Specialization, including:

• Programming for Everybody(getting start with Python)
• Using Python to Access Web Data
• Using Database with Pyhon

2016.10.9 Update

Use Python to implement data structure & algorithm problems from Stanford Algorithm MOOC course.

Part 1

Week 1: CountInversion.py Use the idea of Merge Sort to compute the number of inversions in a integer Array.

2016.10.27 Update

Add my solutions for BerkeleyX Series: Data Science and Engineering with Spark

CS105 : Introduction to Spark

CS110 : Big Data Analysis with Spark

CS120 : Distributed Machine Learning with Spark

Lab 4: Use Principal Component Analysis(PCA) to analysis the neural activity image data of zebrafish.

• RDD + lambda function is REALLY easy to compose and fast to run
• pca() fuction in section (2a) that gives the first k eigen vectors, pca scores, and all the eigen values
• numpy matrix operations: dot, inner, outer, eye, tile, kron(section 4a)
• matplotlib.pyplot to make elegant visualization

2018.12.10 Update

Almost forgot I have this repository, check out Coding for coding tricks for Python 3.