PythonHub

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

StringWa.rs: Which Libs Make Python Strings 2-10× Faster? https://www.reddit.com/r/Python/comments/1nocyn3/stringwars_which_libs_make_python_strings_210/

EbookFoundation / free-programming-books 📚 Freely available programming books https://github.com/EbookFoundation/free-programming-books

DeepFabric Create large-scale synthetic training data for model distillation and evaluation. https://github.com/lukehinds/deepfabric

SOLID: Writing Better Python Without Overengineering The video explores applying the SOLID design principles to improve Python code quality by refactoring a messy sales report script into both a clean class-based and a lean functional version. It discusses the relevance of SOLID principles in Python, showing how they enhance code modularity, testability, and maintainability while highlighting when they might lead to overengineering. https://www.youtube.com/watch?v=uxwjXLjJOoM

holm Web development framework that brings the Next.js developer experience to Python, built on FastAPI, htmy, and FastHX. https://github.com/volfpeter/holm

I stopped using the Django shell because of marimo The video explains how marimo, a modern Python notebook, enhances productivity in Django projects by integrating SQL support, coding agents, and interactivity beyond the traditional Django shell. It demonstrates using marimo for database connections, asynchronous Django ORM operations, custom admin interfaces, and reactive, interactive notebooks that combine SQL, Python, and UI elements ... https://www.youtube.com/watch?v=ksGIAy2s_5k

anthropics / claude-agent-sdk-python https://github.com/anthropics/claude-agent-sdk-python

I made PyPIPlus.com — a faster way to see all dependencies of any Python package https://www.reddit.com/r/Python/comments/1ny6svl/i_made_pypipluscom_a_faster_way_to_see_all/

Building an AI agent from scratch in Python How to implement a single AI agent with an LLM API and no frameworks. https://www.leoniemonigatti.com/blog/ai-agent-from-scratch-in-python.html

Effective context engineering for AI agents Context is a critical but finite resource for AI agents. In this post, we explore strategies for effectively curating and managing the context that powers them. https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents