Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

Illustrating physics problems with Web VPython in Python. Learn how to build clear 3D visualizations for motion and forces, and bring physics concepts to life with interactive animations and simple ...

JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.

Copilot Pro+ and Copilot Enterprise users now can run multiple coding agents directly inside GitHub, GitHub Mobile, and ...

What sets Codeflash apart, he argues, is that it operates not just as a one-time audit or consultancy (as many optimization firms do) but as a continuous engine: “Codeflash has beaten us at optimizing ...

Nvidia CEO Jensen Huang says English could become the most powerful programming language as AI reduces the need for traditional coding and shifts focus toward intent-driven human-machine interaction.

An AI agent got nasty after its pull request got rejected. Can open-source development survive autonomous bot contributors?

While you're in meetings or grabbing coffee, it analyzes problems, writes solutions, and delivers working code ready for review.

AxiomProver solved a real open math conjecture using formal verification, signaling a shift from AI that assists research to AI that discovers new truths.

I used ChatGPT to build a Moltbot and get accepted onto Moltbook. Here’s a step-by-step look at what I did, what went wrong, and what finally worked.