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 ...

Take your physics and coding skills to the next level with **“Learn To Calculate Launch Angles In Projectile Motion Using Python.”** This tutorial combines the fundamentals of projectile motion with ...

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 ...

Abstract: Feature Oriented Programming (FOP) is a design methodology and tools for program synthesis. The goal is to specify a target program in terms of the features that it offers, and to synthesize ...

Welcome to the GitHub repository for Network Analysis Made Simple! This is a tutorial designed to teach you the basic and practical aspects of graph theory. It has been presented at multiple ...

Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial ...