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 ...

In early 2024, executives at artificial intelligence start-up Anthropic ramped up an ambitious project they sought to keep quiet. “Project Panama is our effort to destructively scan all the books in ...

The Proteus Actuarial Library (PAL) is a fast, lightweight framework for building simulation-based actuarial and financial models. It handles complex statistical dependencies using copulas while ...

This article first appeared in Book Gossip, a newsletter about what we’re reading and what we actually think about it. Sign up here to get it in your inbox every month. Dear Book Gossipers, you don’t ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Pearland school board members knew they couldn't personally vet hundreds of books for “indecent” or “profane” content prohibited under a new state law. So when they met this fall to consider a ...

Abstract: Although various approaches have been reported for forecasting aviation safety risks, they frequently fail to fully consider the stochastic nature and complex interrelations of numerous real ...

University of Southern California professor Helen Choi had a pretty basic assignment for her students this fall: Read a book. To be sure, Choi’s pedagogical choice isn’t novel for many faculty; 71 ...

The latest trends and issues around the use of open source software in the enterprise. JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative ...

ABSTRACT: The study applies a Kalman filter (KF) to Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to create a hybrid model, to estimate the parameters of the GARCH model in ...