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 ...

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

As one of the most popular, versatile, and beginner-friendly programming langauges, Python can be used for a variety of tasks from analyzing data to building websites. This workshop builds on the ...

As one of the most popular, versatile, and beginner-friendly programming langauges, Python can be used for a variety of tasks from analyzing data to building websites. This workshop builds on the ...

In this talk, I will give a high-level tutorial on graphs of convex sets, with emphasis on their applications in robotics, control, and, more broadly, decision making. Mathematically, a Graph of ...

APIs (Application Programming Interfaces) allow you to access live, structured data from sources like government agencies, research repositories, and online platforms. This hands-on workshop ...

This is the shocking moment a python emerged during typhoon floods in the Philippines. Residents were left stunned when they spotted the 20ft (6m) reticulated python slithering across a floating ...

Have you wanted to use large language models (LLMs) in your scientific research, whether in chemistry, physics, materials science, computational biology, engineering, earth and atmospheric sciences, ...

Python is a programming language that can be used for a wide range of tasks inside and outside of the academic world. It is vastly used for Digital Humanities, collecting and analyzing data in a ...