Dot Physics on MSN

Building an elastic collision simulator with springs in Python

Building an elastic collision simulator with springs in Python to model realistic physics interactions and dynamic object collisions. Learn how to implement spring forces, momentum conservation, and ...
Dot Physics on MSN

Geostationary orbit simulation in GlowScript VPython: A practical tutorial

Geostationary orbit simulation in GlowScript VPython: a practical tutorial that demonstrates orbital mechanics and physics-based visualization of satellites maintaining a fixed position relative to ...

So yeah, I vibe-coded a log colorizer—and I feel good about it

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I have a reasonably technical layperson’s understanding of conditionals and ...
NPR

Science

February 20, 2026 • The four astronauts heading to the moon for the lunar fly-by are the first humans to venture there since 1972. The ten-day mission will travel more than 600,000 miles. February 20, ...
GitHub

or-azarkman/OFDM-Simulator-Python

OFDM baseband transceiver: theoretical BER (AWGN), Monte Carlo BER vs SNR, QPSK and 16-QAM, AWGN and multipath channels, ZF/MMSE equalization, EVM (Error Vector ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

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 ...
GitHub

A Python logistics simulator that assigns packages to the nearest agents, simulates deliveries, computes distances and efficiency, and processes multiple JSON test cases ...

This project is a logistics simulator for a fictional delivery company FastBox. It simulates one full day of package deliveries involving multiple warehouses, delivery agents, and packages. The ...
IEEE

A Comparative Analysis of the Computational Performance of Simulation Environments for Deep Reinforcement Learning

Abstract: Deep Reinforcement Learning for complex control problems is often constrained by the computational cost of training, which depends heavily on the simulation environment. This paper presents ...