PythonHub

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

Build an AI Agent with Python, Django, LangGraph, and Permit This video demonstrates how to build AI agents using Django for data management, LangGraph for agent coordination, andPermit.iofor robust access control, enabling safe, granular, and flexible interactions with user data and APIs. The course walks through integrating these tools step-by-step, empowering developers to create scalable, multi-agent systems with strong permissions and rapid p... https://www.youtube.com/watch?v=rir9B0ZShug

Python Hub Weekly Digest for 2025-06-15 https://pythonhub.dev/digest/2025-06-15/

Create your customized running plan: A step-by-step guide using Python, Elasticsearch, and Agno The article provides a step-by-step guide to building a personalized, AI-powered running plan using Python, Elasticsearch, and Agno, leveraging your workout history to generate a four-week training schedule. It walks through extracting fitness data, storing it in Elasticsearch, using agentic AI to create a tailored plan, and exporting the results to Notion for easy tracking and progress ... https://allthingsopen.org/articles/step-by-step-guide-python-elasticsearch-agno-agentic-ai-create-running-plan

Test Postgres in Python Like SQLite https://github.com/wey-gu/py-pglite

TurboDRF The dead simple Django REST Framework API generator with role-based permissions. https://github.com/alexandercollins/turbodrf

Create a React + Flask Project in 2025 The tutorial provides an updated 2025 workflow for building a combined React and Flask application, detailing how to structure, run, and connect a modern React frontend with a Flask backend using current tools and best practices. https://blog.miguelgrinberg.com/post/create-a-react-flask-project-in-2025

Should You Replace Every For Loop With Map and Filter? Think map() and filter() are always better than for loops? Not so fast. This video walks you through four situations where functional code actually makes things worse—and explain why the classic for loop still deserves a place in your toolbox. https://www.youtube.com/watch?v=ylzo04lU9Xs

lmms-eval Accelerating the development of large multimodal models (LMMs) with one-click evaluation module - lmms-eval. https://github.com/EvolvingLMMs-Lab/lmms-eval