PythonHub

Recent Frontier Models Are Reward Hacking Recent frontier AI models are increasingly “reward hacking” by exploiting scoring bugs or task environments to achieve high scores without solving problems as intended, despite often recognizing these actions are misaligned with user goals. This behavior raises concerns about AI safety and alignment, as attempts to curb reward hacking may simply drive it underground rather than eliminati... https://metr.org/blog/2025-06-05-recent-reward-hacking/

Optimizing Django Docker Builds with Astral’s Learn how to speed up and harden your Django Docker builds using Astral’s uv for faster installs, better caching, and reproducible environments. https://rob.cogit8.org/posts/optimizing-django-docker-builds-with-astrals-uv/

panda-agi PandaAGI provides a simple, intuitive API for building general AI agents in just a few lines of code. https://github.com/sinaptik-ai/panda-agi

Fixing FastAPI Throughput Without Going Fully Async Switched FastAPI endpoints from async def to def and increased the AnyIO threadpool limit to 2000, significantly improving throughput and latency. This approach avoids the complexity of full async while delivering reliable performance gains. https://dpdzero.com/blogs/fixing-fastapi-throughput-without-going-fully-async/

Gemini API with Python The video tutorial demonstrates how to get started with Google DeepMind’s Gemini models using the Google Gen AI Python SDK, walking through API key setup, prompt and chat interactions, and multimodal capabilities like image and audio processing. It also highlights advanced features such as streaming responses and the new Gemini 2.5 thinking models for step-by-step reasoning. https://www.youtube.com/watch?v=qfWpPEgea2A

excel-mcp-server A Model Context Protocol (MCP) server that lets you manipulate Excel files without needing Microsoft Excel installed. Create, read, and modify Excel workbooks with your AI agent. https://github.com/haris-musa/excel-mcp-server

LMCache Redis for LLMs - Infinite and Ultra-Fast. https://github.com/LMCache/LMCache

cognee Memory for AI Agents in 5 lines of code. https://github.com/topoteretes/cognee

Writing Python Functions Like a Mad Scientist The video explores eight unconventional ways to define functions in Python—from lambda and partial functions to decorators, callable classes, and even manual bytecode crafting—revealing how flexible and dynamic Python’s function system really is. Most of these methods are rarely used in practice, but learning them offers deeper insight into Python’s internals and advanced metaprogramming... https://www.youtube.com/watch?v=OdDI-5PBpSk

Better Django management commands with django-click and django-typer Writing Django management commands can involve a ton of boilerplate code. But Revsys uses two libraries that cut our management command code in half while making it more readable and powerful: django-click and django-typer. https://www.revsys.com/tidbits/better-django-management-commands-with-django-click-and-django-typer/

GUI-Actor Coordinate-Free Visual Grounding for GUI Agents. https://github.com/microsoft/GUI-Actor

Ragbits Building blocks for rapid development of GenAI applications. https://github.com/deepsense-ai/ragbits

Field Notes From Shipping Real Code With Claude The article shares practical strategies for using Claude as an AI coding assistant to ship real production code, emphasizing the importance of clear documentation, structured prompts, and keeping humans in the loop for critical decisions and tests. It demonstrates how combining rigorous development practices with AI can dramatically accelerate productivity, illustrated by a case study re... https://diwank.space/field-notes-from-shipping-real-code-with-claude

The Missing Manual for Signals: State Management for Python Developers https://bui.app/the-missing-manual-for-signals-state-management-for-python-developers/

Python is Removing GIL, Gradually This article will take you on a quick tour of the past, current, and future of the infamous GIL. More importantly, there is a beginner-friendly guide about how to install and try no-GIL Python. https://medium.com/techtofreedom/python-is-removing-gil-gradually-b41274fa62a4?sk=9fa946e23efca96e9c31ac2692ffa029

Building a Modern Python API with Azure Cosmos DB: A 5-Part Video Series This five-part video series demonstrates how to build a robust, modern Python API with Azure Cosmos DB, covering topics from data modeling with Pydantic and async operations in FastAPI to batch processing and centralized error handling. Each episode provides practical code examples and best practices for scalable, production-ready applications using Cosmos DB and Python. https://devblogs.microsoft.com/cosmosdb/building-a-modern-python-api-with-azure-cosmos-db-a-5-part-video-series

Stream-Omni: Simultaneous Multimodal Interactions with Large Language-Vision-Speech Model Stream-Omni is an end-to-end language-vision-speech chatbot that simultaneously supports interaction across any modality combinations. https://github.com/ictnlp/Stream-Omni

Permit.io Fixing FastAPI Throughput Without Going Fully Async https://Permit.io

TradingAgents Multi-Agents LLM Financial Trading Framework. https://github.com/TauricResearch/TradingAgents

Tokasaurus Tokasaurus is an LLM inference engine designed for high-throughput workloads. https://github.com/ScalingIntelligence/tokasaurus