PythonHub

Python micro event loop library (~250 LOC) https://gist.github.com/tarruda/5b8c19779c8ff4e8100f0b37eb5981ea

AI Engineering Goes Visual: Web Scraping & Data Prep with PyFlyde In part one of two part tutorial, we explore how to use Flyde, a visual programming tool, to build a web scraper that feeds into a Retrieval Augmentation Generation (RAG) system. We will cover the process of scraping web content and storing it locally, setting the stage for more advanced AI engineering tasks. https://blog.kodigy.com/post/visual-ai-engineering-with-pyflyde-pt1-scraper/

opendbc A Python API for your car. https://github.com/commaai/opendbc

Why not just plot everything in numpy?! P.2. https://www.reddit.com/r/Python/comments/1iz0qxe/why_not_just_plot_everything_in_numpy_p2/

logis Turn your git commit history into a scientific log. https://github.com/flywhl/logis

CCTV_YOLO Fast Real-time Object Detection with High-Res Output https://github.com/SanshruthR/CCTV_YOLO

How Python Evolves: From PEP to Feature Explore how Python gets new functionality and how PEPs have a huge role in this, by looking at PEP484 and its interesting backstory. https://www.youtube.com/watch?v=TzpOdpdX7pE

Part 2 - Building an LLM RAG with PyFlyde & LangChain https://blog.kodigy.com/post/visual-ai-engineering-with-pyflyde-pt2-rag/

Craw4LLM CRAW4LLM is an efficient web crawling method that prioritizes webpages based on their potential influence on LLM pretraining, replacing traditional graph-connectivity-based priorities. By crawling only 21% of URLs, it achieves the same downstream performance as previous methods, significantly reducing data waste and website burden. https://github.com/cxcscmu/Craw4LLM

AIBrix Cost-efficient and pluggable Infrastructure components for GenAI inference. https://github.com/vllm-project/aibrix

Minions Minions is a communication protocol that enables small on-device models to collaborate with frontier models in the cloud. By only reading long contexts locally, we can reduce cloud costs with minimal or no quality degradation. https://github.com/HazyResearch/minions

How to add an object in Django Admin with a bookmarklet The article explains how to create a Django Admin bookmarklet that pre-fills form fields when adding new items, like bookmarks, using a web page's URL, title, and selected text. It walks through setting up the JavaScript snippet, customizing it for your Django app, and adding it as a browser bookmark for quick data entry. https://www.gyford.com/phil/writing/2025/02/14/django-admin-bookmarklet

Xonsh – A Python-powered shell https://xon.sh/

Building AI Agents for JupyterLab using Notebook Intelligence This post introduces Notebook Intelligence (NBI), an AI coding assistant framework for JupyterLab, and demonstrates how to build AI Agents using NBI's tool-calling capabilities with examples of tools for geo-coordinate lookup, map generation, notebook creation, and sharing. It provides a guide for developers to integrate custom AI-powered functionalities into JupyterLab's Copilot Chat. https://blog.jupyter.org/building-ai-agents-for-jupyterlab-using-notebook-intelligence-0515d4c41a61

Ditching Django Admin for FastHTML with HTMX Building a Django Admin-like dashboard with automatic refresh using FastHTML and HTMX. https://simn.fr/posts/dicthing-django-admin-for-fasthtml

vlmrun-hub A hub for various industry-specific schemas to be used with VLMs. https://github.com/vlm-run/vlmrun-hub

Creating drum machines, effects, sequencers, samplers, and synths with Python I created a subreddit where I post scripts showing how to make drum machines, sequencers, samplers, and synths with Python. https://www.reddit.com/r/supriya_python/s/wFMjENJQ02

FlashMLA FlashMLA is an efficient MLA decoding kernel for Hopper GPUs, optimized for variable-length sequences serving. https://github.com/deepseek-ai/FlashMLA

Codegen A python library for manipulating codebases. https://github.com/codegen-sh/codegen-sdk

Design of Everyday APIs What makes a good API for a library? How can you design an API that is delightful to use? This post walks through the principles of what goes into user-centered design and how best to apply those principles when writing a Python library for fellow developers. https://roguelynn.com/words/everyday-apis