PythonHub

alirezarezvani / claude-skills A Collection of Skills for Claude Code and Claude AI for real-world Usage. Including Claude Code Subagents, Claude Code Commnads https://github.com/alirezarezvani/claude-skills

GrantFlow.AI GrantFlow.ai is a platform for creating grant applications using ML and AI. https://github.com/grantflow-ai/grantflow

A field guide to sandboxes for AI Luis Cardoso breaks down the technical differences between containers, microVMs, gVisor, and WebAssembly to help developers choose the right isolation boundary for running untrusted AI agents. He emphasizes that a secure sandbox requires a clear distinction between the isolation boundary, the access policy, and the lifecycle management of the environment to prevent malicious code from co... https://www.luiscardoso.dev/blog/sandboxes-for-ai

FastAPI Tutorials In this series, we'll be learning how to build a full-featured web application from the ground up using the FastAPI framework in Python. We'll build both a JSON API for programmatic access and HTML pages for users to browse in the browser. Throughout the series, we'll set up a database with SQLAlchemy, create Pydantic models for data validation, and implement complete CRUD operations. We... https://www.youtube.com/playlist?list=PL-osiE80TeTsak-c-QsVeg0YYG_0TeyXI

NitroGen A Foundation Model for Generalist Gaming Agents. https://github.com/MineDojo/NitroGen

The Right Way to Use AI for Writing Maintainable Code Arjan argues that long-term code maintainability with AI requires developers to act as high-level architects, constantly refining design patterns and decoupling responsibilities rather than accepting the first "working" output. The video demonstrates this iterative process by showing a real interaction with ChatGPT, where he systematically guides the AI to replace messy if-statements wit... https://www.youtube.com/watch?v=8Pi6vGRlp1c

ahujasid / blender-mcp https://github.com/ahujasid/blender-mcp

memU Memory infrastructure for LLMs and AI agents. https://github.com/NevaMind-AI/memU

Engram Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models. https://github.com/deepseek-ai/Engram

ComposioHQ / awesome-claude-skills A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows https://github.com/ComposioHQ/awesome-claude-skills

stocksTUI Real-time stock market data in your terminal. https://github.com/andriy-git/stocksTUI

pythea LLM reliability research from Hassana Labs. https://github.com/leochlon/pythea

Seaborn Crash Course - Data Visualization in Python This video today is a crash course on Seaborn, a data visualization library for Python built on top of Matplotlib. It makes it super simple to create statistical graphs of datasets.<br> https://www.youtube.com/watch?v=rLVCSmtoA7U

BeatBoss BeatBoss is a desktop music player built with Python and Flet. https://github.com/TheVolecitor/BeatBoss

The Emperor Has No Clothes: How to Code Claude Code in 200 Lines of Code Mihail Eric argues that the core functionality of complex AI coding tools like Claude Code or Cursor is not magic but rather simple agentic logic. He demonstrates that these systems can be replicated in about 200 lines of Python by focusing on the essential loop of reading files, editing code, and executing shell commands. https://www.mihaileric.com/The-Emperor-Has-No-Clothes

How I Used Claude to Build a Transcription Bot that Learns From Its Mistakes John Voorhees describes building a transcription pipeline that combines deterministic Python scripts for initial cleanup with Claude's "fuzzy" reasoning to catch obscure phonetic errors. The system uses a feedback loop where Claude identifies misspellings like "goti" for "GOTY" and automatically updates a persistent dictionary to ensure the bot becomes more accurate with every episode. https://www.macstories.net/stories/how-i-used-claude-to-build-a-transcription-bot-that-learns-from-its-mistakes

Python Hub Weekly Digest for 2026-01-18 https://pythonhub.dev/digest/2026-01-18/

pyPFC: An open-source Python package for phase field crystal simulations A Python framework for setting up, running and analyzing 3D Phase Field Crystal (PFC) simulations. https://github.com/HHallb/pyPFC

SnackBase – Open-source, GxP-compliant back end for Python teams https://snackbase.dev

Moving Scratch generation to Python on browser https://kushaldas.in/posts/introducing-ektupy.html