Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

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

Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses for learning Python basics. Think Python provides a free e-book for a ...

Learn how to calculate the max range launch angle in projectile motion with air drag! Step-by-step tutorial exploring physics concepts, trajectory optimization, and real-world applications. Perfect ...

If you’re looking for a place to start, W3Schools has a Python tutorial that’s pretty straightforward. It breaks things down ...

Solidworks and Inventor receive a lot of attention, and so we tend to forget the surprising number of other MCAD programs that exist. They are not fly-by-nighters – many have been around for more than ...

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 ...