PythonHub

MimicKit A lightweight suite of motion imitation methods for training controllers. https://github.com/xbpeng/MimicKit

Django Time-Based Lookups: A Performance Trap The article shows how certain Django time-based field lookups can bypass database indexes and turn a simple filter into a full table scan, dramatically slowing queries. It then demonstrates a much faster pattern by computing time boundaries in Python so the database can use the existing index and drop execution time from tens of seconds to under a second. https://johnnymetz.com/posts/django-time-based-lookups-performance/

AutoMem AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory. https://github.com/verygoodplugins/automem

dj-celery-panel Your Celery task inspector inside the Django admin. https://github.com/yassi/dj-celery-panel

Xenia – A monospaced font built with a custom Python engine https://github.com/Loretta1982/xenia

webctl Browser automation for AI agents and humans, built on the command line. https://github.com/cosinusalpha/webctl

ruvnet / wifi-densepose Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking through walls using commodity mesh routers https://github.com/ruvnet/wifi-densepose

Asyncio Finally Got Peewee Charles Leifer introduces an asyncio compatibility layer for the Peewee ORM that uses greenlet to bridge synchronous database logic with asynchronous event loops without requiring a full codebase rewrite. This implementation allows developers to run standard Peewee queries and transactions within async contexts by using a task-local state management system and specific execution helpers ... https://charlesleifer.com/blog/asyncio-finally-got-peewee/

7 Things You Didn’t Know Dataclasses Could Do The video walks through seven lesser-known features of Python’s dataclasses that make code safer, clearer, and easier to maintain, beyond basic use. Each tip shows how dataclasses can reduce boilerplate and improve common patterns in everyday Python code. https://www.youtube.com/watch?v=YTsJQ4ixq88

Tracking 13,000 satellites in under 3 seconds from Python https://www.reddit.com/r/Python/comments/1qif5o1/tracking_13000_satellites_in_under_3_seconds_from/

django-polymorphic - Polymorphic models in Django The video explains Django model inheritance and polymorphic models, showing how django-polymorphic returns the correct subclass types when querying a base model through the ORM. It also covers Django Admin support and integrations with other Django ecosystem packages to make polymorphic models easier to manage. https://www.youtube.com/watch?v=d8MC2FQ_nqU

Violit Violit is a next-generation Python web framework that perfectly solves Streamlit's critical Full Script Rerun issue with O(1) State Architecture. https://github.com/violit-dev/violit

Learn NumPy in 40 Minutes The video introduces the core concepts of NumPy and shows how its array operations form the foundation of numerical computing in Python. It emphasizes why NumPy is a must-learn tool for data science, AI, machine learning, and scientific workflows. https://www.youtube.com/watch?v=zI5ducyfyNc

Skill_Seekers Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection. https://github.com/yusufkaraaslan/Skill_Seekers

Opticol Optimized collections (opticol) for Python. This package provides memory-efficient, slot-based implementations of Python's standard collection types. https://github.com/lessico/opticol/

Paper2Any Turn paper/text/topic into editable research figures, technical route diagrams, and presentation slides. https://github.com/OpenDCAI/Paper2Any

Can LLMs translate Polars code to SQL? Th post explores how large language models can translate natural language and Polars DataFrame expressions into equivalent SQL queries, bridging Python-centric data manipulation and SQL for analytics. It demonstrates how combining Polars’ in-memory performance with LLMs can help users leverage familiar SQL patterns without writing raw SQL themselves. https://labs.quansight.org/blog/llm_polars_to_sql

How a Single Test Revealed a Bug in Django 6.0 The story of how a failed upgrade attempt by Renovate led to a Django contribution. https://lincolnloop.com/blog/how-a-single-test-revealed-a-bug-in-django-60/

Oban A robust job orchestration framework for Python, backed by modern PostgreSQL. https://github.com/oban-bg/oban-py

Rust-powered FM-index for fast substring search High-performance FM-index powered by Rust, enabling fast substring search and count/locate queries. https://pypi.org/project/fm-index/