Learn how to simulate Faraday’s Law in electrodynamics using Python (Part 2)! In this video, we continue our step-by-step tutorial on modeling electromagnetic induction, showing how changing magnetic ...

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

I’ll cut straight to the chase: the Meta Quest 3 is the best standalone, consumer-oriented VR headset you can get right now. With a slimmer design, sharper display, more powerful processor, full-color ...

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 ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.

The aim of this project is to provide a Python 3.12 backport to Debian bookworm. Packages are of course much better manageable than compiling the source from scratch. In my opinion it is also more ...