PythonHub

MiniMax-AI The world's first open-weight, large-scale hybrid-attention reasoning model. https://github.com/MiniMax-AI/MiniMax-M1

Is uvloop still faster than asyncio's event loop in python3.13? https://www.reddit.com/r/Python/comments/1l8fwu1/is_uvloop_still_faster_than_asyncios_event_loop/

A Python-first data lakehouse https://www.bauplanlabs.com/blog/everything-as-python

miniDiffusion A reimplementation of Stable Diffusion 3.5 in pure PyTorch. https://github.com/yousef-rafat/miniDiffusion

dnsimg - storing images in txt records The author experiments with storing images in DNS TXT records by converting image data to hex, splitting it into 2048-character chunks, and creating a protocol-like method for retrieval and reconstruction. The process demonstrates both the feasibility and practical limitations of this approach, including DNS record size constraints and the need for custom scripts to upload, fetch, and re... https://asherfalcon.com/blog/posts/2

What ever happened to "Zope"?! https://www.reddit.com/r/Python/comments/1l9furl/what_ever_happened_to_zope/

Python can run Mojo now The post explores how Python can now call Mojo code, offering a promising way to speed up Python functions with a simple compiled language. While still early and showing some rough edges like overflow issues, Mojo demonstrates significant performance gains in examples like prime counting, making it an exciting tool for Python developers seeking faster execution. https://koaning.io/posts/giving-mojo-a-spin/

Programming Language Design in the Era of LLMs: A Return to Mediocrity? The article argues that the rise of LLMs is making it less appealing to design new domain-specific languages (DSLs), since LLMs excel at generating code in popular languages like Python but struggle with niche DSLs. It explores how language designers might adapt by teaching LLMs about DSLs, integrating informal and formal workflows, and focusing on verified specification languages, but w... https://kirancodes.me/posts/log-lang-design-llms.html

ML-GSAI / LLaDA Official PyTorch implementation for "Large Language Diffusion Models" https://github.com/ML-GSAI/LLaDA

The fastest way to detect a vowel in a string The author explores 11 different methods for detecting vowels in a string using Python, benchmarking their performance and analyzing their underlying implementation, including Python bytecode and regex internals. The results show that for short strings, a simple loop is fastest, but for longer strings, regex-based approaches outperform others due to their optimized C-level implementation... https://austinhenley.com/blog/vowels.html

Premier A Flexible, Lightweight API-Gateway written in python that can be used as an ASGI middleware, app, or decorators. https://github.com/raceychan/premier

The GIL is actually going away — Have you tried a no-GIL Python? https://www.reddit.com/r/Python/comments/1lccbj2/the_gil_is_actually_going_away_have_you_tried_a/

How to Write the Worst Possible Python Code (Humor) https://effective-programmer.com/how-to-write-the-worst-possible-python-code-8c6e49816e90?sk=d06d4241ce97a51a969fbce67070f8ba

Python Hub Weekly Digest for 2025-06-22 https://pythonhub.dev/digest/2025-06-22/

bitssh A New and Modern SSH connector written in Python. https://github.com/Mr-Sunglasses/bitssh

CRUDAdmin Modern admin interface for FastAPI with built-in authentication, event tracking, and security features. https://github.com/benavlabs/crudadmin

Archon Archon is an AI agent that is able to create other AI agents using an advanced agentic coding workflow and framework knowledge base to unlock a new frontier of automated agents. https://github.com/coleam00/Archon

How fast can the RPython GC allocate? https://pypy.org/posts/2025/06/rpython-gc-allocation-speed.html

pyvers A Python library for dynamic dispatch based on module versions and backends. https://github.com/vmoens/pyvers

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/