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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 ;)
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
A python tutorial on bayesian modeling techniques (PyMC3)
PyMC educational resources
Text and code for the second edition of Think Bayes, by Allen Downey.
Notebooks about Bayesian methods for machine learning