Explore core physics concepts and graphing techniques in Python Physics Lesson 3! In this tutorial, we show you how to use Python to visualize physical phenomena, analyze data, and better understand ...

Learn momentum conservation by building a Python model of elastic collisions! This tutorial guides you step-by-step through simulating elastic collisions, analyzing momentum transfer, and visualizing ...

A note editor. A tool to serve your notes on the web – for this, there are some static site solutions. environment.systemPackages = [ # Your other packages here ...

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 ...