Data science from scratch

This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader with some programming skills. The book covers: * The important parts of Python to know * The important parts of Math / Probability / Statistics to know * The basics of data science * How commonly-used data science techniques work (learning by implementing them) * What is Map-Reduce and how to do it in Python * Other applications such as NLP, Network Analysis, and more