PythonHub

Why Reactive Programming Hasn't Taken Off in Python (And How Signals Can Change That) Reactive programming offers significant benefits for Python applications - it reduces bugs, simplifies complexity, and improves maintainability. Yet most Python developers avoid it. The problem isn't reactive programming itself, it's how we've been doing it. Python's reaktiv makes reactive programming as simple as spreadsheet formulas. https://bui.app/why-reactive-programming-hasnt-taken-off-in-python-and-how-signals-can-change-that/

T-Strings: Do They Actually Make SQL Better in Python 3.14? The video explains that t-strings are a new string format in Python 3.14 designed to help with SQL query sanitization by separating query parts and parameters for better readability and safety. While t-strings can improve managing complex queries with many parameters, for simple queries they add unnecessary complexity compared to traditional parameterized queries, making them useful main... https://www.youtube.com/watch?v=R5ov9SbLaYc

FuncToWeb Transform any Python function into a web interface automatically. https://github.com/offerrall/FuncToWeb

Functions: a complete reference This article serves as a complete reference for all the non-trivial things you should know about Python functions. https://mathspp.com/blog/pydonts/functions-a-complete-reference

gemimg Lightweight wrapper for generating and editing images from Gemini 2.5 Flash Image/Nano Banana. https://github.com/minimaxir/gemimg

Python 3.14's best new features Python 3.14 introduces practical, user-friendly features such as syntax highlighting in the REPL and debugger, improved error messages with helpful suggestions, and pathlib enhancements like copy and move methods. It also adds template string literals (t-strings) for advanced string processing, deferred evaluation of annotations, new UUID versions sortable by creation time, and better co... https://www.pythonmorsels.com/python314/

Introducing Air: A Pioneering AI-First Python Web Framework The Air framework is a pioneering AI-first Python web framework built on FastAPI and Starlette, designed to optimize developer and AI agent productivity with features like intuitive Air Tags for HTML generation, seamless Jinja template integration, and built-in HTMX support. Inspired by frameworks like Django, Flask, and Pyramid, Air emphasizes modularity, modern developer experience, an... https://audrey.feldroy.com/articles/2025-10-06-air-pioneering-ai-first-python-web-framework

Talk Python in Production https://talkpython.fm/books/python-in-production

SINQ A novel, fast and high-quality quantization method designed to make any Large Language Model smaller while preserving accuracy. https://github.com/huawei-csl/SINQ

MicroPythonOS – An Android-Like OS for Microcontrollers https://micropythonos.com

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