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 ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Learn how to create a Python simulation of a tipping stick! In this video, we guide you step by step through coding a physics-based simulation that models tipping motion, friction, and torque. Perfect ...

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

This module provides a Python implementation of FLINT, a fast algorithm for estimating 1D/2D NMR relaxation distributions. The algorithm is based on the work of Paul Teal and C. Eccles, who developed ...

Abstract: Microwave Imaging is a key technique for reconstructing the electrical properties of inaccessible media, relying on algorithms to solve the associated Electromagnetic Inverse Scattering ...

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 ...

If you are planning a trip through several cities and want to find the shortest route, you resort to algorithms, a well-defined sequence of deterministic operations. This article accompanies the ...