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An open access book on scientific visualization using python and matplotlib
Efficient Python Tricks and Tools for Data Scientists
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019
a visual dictionary of Bayesian Networks and Causal Inference.
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 ;)