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This is a repo with links to everything you'd ever want to learn about data engineering
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Recipes for using Python's pandas library
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
Supplementary material for my book, Probably Overthinking It.