Dot Physics on MSN

Python tutorial: Predicting maximum projectile distance when air resistance matters

Learn how to predict the maximum distance of a projectile in Python while accounting for air resistance! 🐍⚡ This step-by-step tutorial teaches you how to model real-world projectile motion using ...
Dot Physics on MSN

Python physics tutorial: Modeling 1D motion with loops

Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

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

A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis

Abstract: A large-scale dynamically weighted directed network (DWDN) involving numerous entities and massive dynamic interaction is an essential data source in many big-data-related applications, like ...
Hacker

A Quick Introduction to Python Numpy for Beginners

I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...
GitHub

anulum/scpn-fusion-core

Production neuro-symbolic control core extracted → scpn-control (minimal 41-file focused package). This repo is the full physics + experimental suite — research-grade transport, neutronics, MHD, ...
GitHub

p-sarikas/quadrotor-planning-and-decision-making

This repository contains all the code used for group 3's final project for Planning and Decision Making (RO470005) course. While most of the code is developed by us, we have a significant amount of ...