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 ...

Explore Python Physics Lesson 19 and learn how the Monte Carlo method can approximate Pi with simple yet powerful simulations. In this lesson, we break down the Monte Carlo technique step by step, ...

A new variation of the fake recruiter campaign from North Korean threat actors is targeting JavaScript and Python developers ...

Which one delivers more bang for the buck in terms of performance, safety, and everyday utility? GPT-5.3-Codex: Details OpenAI's latest release unifies the coding prowess of its GPT-5.2-Codex ...

OpenAI has released a new AI model designed to support its recently launched coding tool, Codex. The model, called GPT-5.3 Codex, follows the introduction of Codex earlier this week and is intended ...

The frontier AI labs continue releasing models that are better than their predecessors, but there’s an interesting change in how they operate — some of the models are helping create themselves. OpenAI ...

Welcome to the Claude Code Interactive Learning Experience! This comprehensive tutorial system is designed to help developers of all skill levels master Claude Code safely and effectively.

On Monday, OpenAI launched Codex, an agentic coding tool marketed to software developers. Today, OpenAI also launched a new model designed to turbo-charge Codex: GPT-5.3 Codex. The company says that ...

Artificial intelligence is entering the era of self-improvement. On Thursday afternoon, OpenAI released a new cutting-edge coding model that the company said assisted in its own creation.

Credit: Joseph Maldonado / Mashable Composite by Rene Ramos. OpenAI released a new coding model today, GPT-5.3-Codex. The company said the new model has improved "reasoning and professional knowledge ...

OpenAI has just introduced GPT-5.3-Codex, a new agentic coding model that extends Codex from writing and reviewing code to handling a broad range of work on a computer. The model combines the frontier ...

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