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xeus-haskell: Bringing Native Jupyter Protocol to Interactive Haskell

xeus-haskell: Bringing Native Jupyter Protocol to Interactive Haskell

xeus-haskell introduces a modern Jupyter kernel for Haskell built on the native xeus protocol, offering developers a performant pathway to interactive computing. The project simplifies installation with conda environments and provides an online binder for immediate experimentation.
Google Gemini's Canvas: AI-Powered Slide Creation Revolutionizes Presentations

Google Gemini's Canvas: AI-Powered Slide Creation Revolutionizes Presentations

Google's Gemini Canvas now transforms simple prompts into fully designed presentations, complete with themes, images, and talking points. The feature leverages Gemini 2.5 Pro to automate slide creation while adding LaTeX support for technical documentation. This upgrade signals a major productivity shift for developers, educators, and professionals drowning in presentation prep.
Elevating AI Research: The Blueprint for Fast, Reproducible, and Attractive Code

Elevating AI Research: The Blueprint for Fast, Reproducible, and Attractive Code

As AI research enters mainstream tech, poorly structured Jupyter notebooks and irreproducible experiments are no longer acceptable. Discover essential strategies for writing research code that's quick to set up, consistently reproducible, and modular enough for community adoption—featuring tools like uv, jsonargparse, and WandB.
Demystifying GPU Programming: Triton's Gluon Tutorial Opens the Door to Efficient Deep Learning

Demystifying GPU Programming: Triton's Gluon Tutorial Opens the Door to Efficient Deep Learning

Triton's new Gluon tutorial provides developers with a practical entry point into high-performance GPU programming for deep learning. By simplifying complex kernel optimization tasks, Triton empowers researchers to build efficient neural networks without CUDA expertise. This marks a significant step toward democratizing GPU acceleration for AI innovation.
The Galton Board: How a 19th-Century Marvel Shapes Modern Data Science

The Galton Board: How a 19th-Century Marvel Shapes Modern Data Science

Francis Galton's ingenious bean machine, designed in 1874, visually demonstrates the central limit theorem—revealing how random events converge into predictable patterns. For developers and data scientists, this analog device offers profound insights into probability distributions, simulation design, and the foundations of AI. Its legacy endures in algorithms, statistical modeling, and even game mechanics.
TinyCoder: The Minimalist AI Assistant That Supercharges Your Terminal Workflow

TinyCoder: The Minimalist AI Assistant That Supercharges Your Terminal Workflow

Meet TinyCoder – a pure Python CLI tool that integrates large language models directly into your development environment with Git awareness, Docker support, and intelligent context building. This zero-dependency assistant promises to revolutionize how developers interact with AI for real-world coding tasks.