PythonHub

uv cheatsheet with most common/useful commands https://www.reddit.com/r/Python/comments/1o2viq3/uv_cheatsheet_with_most_commonuseful_commands/

“The G in GPU is for Graphics damnit!”: Adventures in Triton Kernels, Profiling, Parallelism and More The blog explains how Triton, a Python-based DSL for CUDA programming now developed by OpenAI, enables writing custom GPU kernels with better performance and ease than direct CUDA. Through a case study simulating Physarum slime mold, the post showcases profiling, optimization, and how Triton can vastly outperform PyTorch by fusing operations and reducing memory overhead. https://ut21.github.io/blog/triton.html

Tunix A JAX-native LLM Post-Training Library. https://github.com/google/tunix

Bringing NumPy's type-completeness score to nearly 90% NumPy's type-completeness score was improved from 33% to nearly 90% through efforts by Quansight Labs and Meta's Pyrefly team, including a key one-line fix for type annotations and fully typing the MaskedArray class. These improvements enhance developer experience and enable safer downstream library code by providing better static typing coverage in NumPy's public API. https://pyrefly.org/blog/numpy-type-completeness/

Pdoc – Generate API documentation for Python projects https://pdoc.dev/

LlamaFarm Deploy any AI model, agents, database, RAG, and pipeline locally in minutes. https://github.com/llama-farm/llamafarm

Anatomy of a Scalable Python Project (FastAPI) The video explains how to design a scalable Python project using FastAPI, covering key aspects like a balanced folder structure, centralized configuration with pydantic, logging, dependency injection, and isolated testing with an in-memory database. The video also demonstrates Docker-based environment consistency, clean separation of business logic and API routing, and practical tips for... https://www.youtube.com/watch?v=Af6Zr0tNNdE

devpush Like Vercel, but open source and for all languages. https://github.com/hunvreus/devpush

Python 3.14.0 (final) is here! Python 3.14 introduces major new features including official support for free-threaded Python, deferred evaluation of annotations, template string literals, multiple interpreters in the standard library, and a new compression module for Zstandard. It also brings improved error messages, syntax highlighting in the REPL and debugger, an experimental JIT compiler for macOS and Windows, and ... https://pythoninsider.blogspot.com/2025/10/python-3140-final-is-here.html

agent-framework A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET. https://github.com/microsoft/agent-framework

ProofOfThought LLM-based reasoning using Z3 theorem proving. https://github.com/DebarghaG/proofofthought

Django: one ORM to rule all databases Comparing the Django ORM support across official database backends, so you don’t have to learn it the hard way. https://www.paulox.net/2025/10/06/django-orm-comparison/

7 Key Python 3.14 Updates To Make Your Coding Easier, Faster, and Better Python 3.14 has officially arrived (October 2025), and with it come some thoughtful, powerful improvements. https://medium.com/techtofreedom/7-key-python-3-14-updates-to-make-your-coding-easier-faster-and-better-17ace5791d09?sk=956f8f3ce66db7feca6f448f141d2cbc

Best practices for using Python & uv inside Docker https://www.reddit.com/r/Python/comments/1o3p4bf/best_practices_for_using_python_uv_inside_docker/

fastapi / fastapi FastAPI framework, high performance, easy to learn, fast to code, ready for production https://github.com/fastapi/fastapi

PyPI+ Discover and explore 500,000+ Python packages with interactive dependency tree visualization. https://pypiplus.com/

TIL: Python's splitlines does more than just newlines https://yossarian.net/til/post/python-s-splitlines-does-a-lot-more-than-just-newlines/

Python, Go, Rust, TypeScript and AI with Armin Ronacher The video features Armin Ronacher, creator of Flask and co-founder of a new startup, discussing the strengths and trade-offs of Python, Go, Rust, and TypeScript for different use cases, especially startups. He highlights how AI tools are transforming engineering work, the challenges of language migrations like Python 2 to 3, and the evolving importance of programming languages in an AI-d... https://www.youtube.com/watch?v=45kVol96IlM

Python Hub Weekly Digest for 2025-10-12 https://pythonhub.dev/digest/2025-10-12/

Logly Logly is a Rust-powered, Loguru-like logging library for Python that combines the familiarity of Python’s standard logging API with high-performance logging capabilities. https://github.com/muhammad-fiaz/logly