Explore advanced physics with **“Modeling Sliding Bead On Tilting Wire Using Python | Lagrangian Explained.”** In this tutorial, we demonstrate how to simulate the motion of a bead sliding on a ...

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 ...

Update: since Oct 24 2024 I am homeless and living in my van. I lost access to most of my computer hardware. The eviction from my home has been timed for maximum effect as I was not present when it ...

Abstract: Weather forecasting is critical for hydropower plant operation and flood management, for example. Computationally intensive mechanistic models are well-known. As a result, developing results ...