Dive into Faraday’s Law of Electromagnetic Induction with a practical Python implementation in this first part of our Electrodynamics series. Learn how to simulate and visualize 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 ...

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 ...

Young coding whizzes Neth Dharmasiri and Chinmay Lal believe learning the language behind computer software shouldn't depend ...

Abstract: The performance of high-performance computing (HPC) and other real-world applications is becoming unpre-dictable as the micro-architecture of the modern central processing unit (CPU) turns ...