InfoWorld

Python’s popularity slip: Here’s what we know

Get the scoop on the most recent ranking from the Tiobe programming language index, learn a no-fuss way to distribute DIY tooling across Python projects, and take a peek at ComfyUI: interactive, ...
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

Learn how to use Python functions for projectile motion simulations

Master projectile motion simulations using Python functions! 🐍⚡ This tutorial walks you through coding techniques to model trajectories, calculate distances, and visualize motion in real time.
Dot Physics on MSN

Python physics lesson 5: Analyzing projectile motion with drag forces

Welcome to Python Physics Lesson 5, where we explore projectile motion with drag forces. In this lesson, we go beyond idealized motion to show how air resistance affects trajectories, velocity, and ...
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 ...
Dot Physics on MSN

Simulating a tipping stick with springs through Python

Learn how to simulate a tipping stick with springs using Python! This video walks you through building a physics-based simulation that models spring forces, tipping motion, and friction step by step.
Dot Physics on MSN

Creating a Python simulation of a tipping stick

Learn how to create a Python simulation of a tipping stick! In this video, we guide you step by step through coding a physics-based simulation that models tipping motion, friction, and torque. Perfect ...
IEEE

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

Abstract: Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across ...
Dot Physics on MSN

Learn to calculate area under curves numerically with Python

Learn how to calculate the area under curves numerically using Python in this step-by-step tutorial! This video covers essential numerical integration techniques, including the trapezoidal and Simpson ...
GitHub

A Python Package for Tree Instance Segmentation in 3D Point Clouds.

TreeXAlgorithm - Burmeister, Josafat-Mattias, Tockner, Andreas, Reder, Stefan, Engel, Markus, Richter, Rico, Mund, Jan-Peter, & Döllner, Jürgen (2025). "treeX ...
IEEE

Learning-Based Reflection-Aware Virtual Point Removal for Large-Scale 3D Point Clouds

Abstract: 3D point clouds are widely used for robot perception and navigation. LiDAR sensors can provide large scale 3D point clouds (LS3DPC) with a certain level of accuracy in common environment.
IEEE

Class Incremental Learning With Less Forgetting Direction and Equilibrium Point

Abstract: Catastrophic forgetting is the core problem of class incremental learning (CIL). Existing work mainly adopts memory replay, knowledge distillation, and dynamic architecture to alleviate this ...