md-mq/numerical_exercises
An introduction to numerical methods for astrophysical hydrodynamics
Kalman filtering and optimal estimation library in Python. Kalman filter, Extended Kalman filter, Unscented Kalman filter, g-h, least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
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An introduction to numerical methods for astrophysical hydrodynamics
An integration of pandas dataframes with scikit learn.
Docker Cheat Sheet
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave