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

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

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

BeatBoss

BeatBoss is a desktop music player built with Python and Flet.

https://github.com/TheVolecitor/BeatBoss

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

pythea

LLM reliability research from Hassana Labs.

https://github.com/leochlon/pythea

stocksTUI

Real-time stock market data in your terminal.

https://github.com/andriy-git/stocksTUI

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

Engram

Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models.

https://github.com/deepseek-ai/Engram

memU

Memory infrastructure for LLMs and AI agents.

https://github.com/NevaMind-AI/memU

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

NitroGen

A Foundation Model for Generalist Gaming Agents.

https://github.com/MineDojo/NitroGen

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

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

GrantFlow.AI

GrantFlow.ai is a platform for creating grant applications using ML and AI.

https://github.com/grantflow-ai/grantflow