PythonHub

moneyflow Personal Finance Data Interface for Power Users (supporting backends like Monarch Money) https://github.com/wesm/moneyflow

Async Django: a solution in search of a problem? The article explains that Django added async support mainly to handle I/O-bound workloads more efficiently by allowing the server to process multiple requests concurrently without blocking. However, the async features add significant complexity and have seen limited adoption because most Django applications benefit more from offloading heavy tasks to background workers rather than rewrit... https://www.loopwerk.io/articles/2025/async-django-why/

ValueCell ValueCell is a community-driven, multi-agent platform for financial applications. https://github.com/ValueCell-ai/valuecell

httptap Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with waterfall timelines, compact summaries, or metrics-only output. https://github.com/ozeranskii/httptap

Why We Migrated from Python to Node.js https://blog.yakkomajuri.com/blog/python-to-node

Python Pydantic Tutorial: Complete Data Validation Course (Used by FastAPI) Learn how to use Pydantic to validate and structure data in Python using type hints, custom validators, and nested models. Pydantic simplifies data handling in web apps, pipelines, and AI tools by replacing messy manual validation with clean, reliable models. https://www.youtube.com/c/Coreyms/videos

Uv is the best thing to happen to the Python ecosystem in a decade https://emily.space/posts/251023-uv

Why Performance Matters in Python Development Learn why code optimization is important and how efficient Python code improves speed, scalability, and the user experience. https://blog.jetbrains.com/pycharm/2025/10/why-performance-matters-in-python-development/

skylos Yet another static analysis tool for Python codebases written in Python that detects dead code + common security flaws created by ai. Faster and better than the rest :) also, who let the dawgs out? https://github.com/duriantaco/skylos

Monte Carlo modeling in Python with probabilit The article introduces probabilit, a Python package designed for Monte Carlo modeling that simplifies uncertainty calculations by allowing users to model equations with probability distributions and sample from them. It demonstrates key features like Latin Hypercube Sampling for efficient sampling and inducing correlations between variables, highlighting its suitability for prototyping u... https://tommyodland.com/articles/2025/monte-carlo-modeling-in-python-with-probabilit/

How DeepSeek OCR Quietly Solved a Billion-Dollar Problem in AI Scaling This article cover the architecture and how to guide for DeepSeek OCR- this story has gone viral on this topic. https://medium.com/data-and-beyond/how-deepseek-ocr-quietly-solved-a-billion-dollar-problem-in-ai-scaling-7b4502613af9?sk=d43719a9caf7dfe938f9af1eac86056b

Build Real-time Codebase Indexing https://cocoindex.io/docs/examples/code_index

wove Beautiful Python async. It is for running high latency async tasks like web requests and database queries concurrently in the same way as asyncio, but with a drastically improved user experience. https://github.com/curvedinf/wove

Python Hub Weekly Digest for 2025-11-02 https://pythonhub.dev/digest/2025-11-02/

Brewing with SQLAlchemy This series is a comprehensive workshop designed to teach SQLAlchemy from fundamental concepts through advanced data modeling and complex query crafting. By the end, it aims to equip learners with practical skills to confidently handle data challenges and build scalable, powerful applications using SQLAlchemy’s ORM and session features. https://fullstack.rocks/article/sqlalchemy/brewing_with_sqlalchemy

burla Run any Python function on 1000 computers in 1 second. https://github.com/Burla-Cloud/burla

typeagent-py This is an in-progress project aiming at a Pythonic translation of TypeAgent KnowPro and a few related packages from TypeScript to Python. https://github.com/microsoft/typeagent-py

Wrapping immutable objects Graham Dumpleton explores how Python’s wrapt library must correctly handle immutable types when wrapping objects, highlighting hidden issues with in-place operators like += and @= when applied to proxies of immutables. He outlines a refinediaddstrategy for ObjectProxy that preserves expected behaviour in version 2.0.0 of wrapt. https://grahamdumpleton.me/posts/2025/10/wrapping-immutable-types/

I built an 8-bit CPU simulator in Python from scratch https://github.com/sql-hkr/tiny8

django-bolt Rust-powered API framework for Django achieving 60k+ RPS. Uses Actix Web for HTTP, PyO3 for Python bridging, msgspec for serialization. Decorator-based routing with built-in auth and middleware. https://github.com/FarhanAliRaza/django-bolt