Welcome to Python Physics Lesson 13, where we explore how two masses interact via a spring. In this lesson, we break down the physics of spring-mass systems and demonstrate how to simulate their ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...