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

DeepFabric

Create large-scale synthetic training data for model distillation and evaluation.

https://github.com/lukehinds/deepfabric

EbookFoundation / free-programming-books

📚 Freely available programming books

https://github.com/EbookFoundation/free-programming-books

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

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

PyPI+

Discover and explore 500,000+ Python packages with interactive dependency tree visualization.

https://pypiplus.com/

fastapi / fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

https://github.com/fastapi/fastapi

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

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/

ProofOfThought

LLM-based reasoning using Z3 theorem proving.

https://github.com/DebarghaG/proofofthought

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

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

devpush

Like Vercel, but open source and for all languages.

https://github.com/hunvreus/devpush

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

LlamaFarm

Deploy any AI model, agents, database, RAG, and pipeline locally in minutes.

https://github.com/llama-farm/llamafarm

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/