Overview Structured Python learning path that moves from fundamentals (syntax, loops, functions) to real data science tools ...

Python isn’t just for data and apps—it’s a playground for creativity. With tools like Processing, generativepy, and Pygame, you can turn code into visuals, patterns, and interactive experiences.

Building neural networks from scratch in Python with NumPy is one of the most effective ways to internalize deep learning fundamentals. By coding forward and backward propagation yourself, you see how ...

The Indian Institute of Technology, Madras, through SWAYAM Plus and IITM Pravartak, has launched three beginner-friendly AI ...

Anthropic fixed a significant vulnerability in Claude Code's handling of memories, but experts caution that memory files will ...

GPT-5.5 brings a shift toward agentic behaviour, meaning it can plan, execute, and refine tasks with limited user guidance.

CVE-2026-5752 CVSS 9.3 flaw in Terrarium enables root code execution via Pyodide prototype traversal, risking container ...

Learn prompt engineering with this practical cheat sheet covering frameworks, techniques, and tips to get more accurate and ...

We tried out Google’s new family of multi-modal models with variants compact enough to work on local devices. They work well.

CVE-2026-5760 (CVSS 9.8) exposes SGLang via /v1/rerank endpoint, enabling RCE through malicious GGUF models, risking server ...

Moonshot AI's new Kimi K2.6 swarms your complex tasks with 1,000 collaborating agents ...

If you've got a Raspberry Pi and a just a little bit of coding know-how, you can make these weird projects that are sure to ...