When a Matplotlib volunteer declined its pull request, the bot published a personal attack. Sign of the times: An AI agent ...
Dot Physics on MSN
Python physics lesson 18: Learning numerical integration
Dive into Python Physics Lesson 18 and master numerical integration! In this tutorial, we explain step by step how to use Python to approximate integrals, solve physics problems, and analyze motion ...
How-To Geek on MSN
5 powerful Python one-liners that will make you a better coder
Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...
Coursiv sponsors Python Software Foundation, supporting the open-source language powering 80% of AI tools used by ...
Plotly Cloud adds team collaboration for publishing and sharing Dash apps, with enterprise security, centralized access ...
Operation Dream Job is evolving once again, and now comes through malicious dependencies on bare-bones projects.
Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...
How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to ...
Deno Sandbox works in tandem with Deno Deploy—now in GA—to secure workloads where code must be generated, evaluated, or ...
The Conductor extension now can generate post-implementation code quality and compliance reports based on developer specifications.
AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.
An AI agent got nasty after its pull request got rejected. Can open-source development survive autonomous bot contributors?
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