Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

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

Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how to generate grids, compute functions over them, and visualize data ...

Not everyone will write their own optimizing compiler from scratch, but those who do sometimes roll into it during the course ...

Learn how to model a mass on a vertical spring numerically using Python! 🐍🧲 This tutorial walks you step by step through setting up the equations, coding the simulation, and analyzing the results.

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 ...