PythonHub

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

Blinter Blinter is a linter for Windows batch files. It provides comprehensive static analysis to identify syntax errors, security vulnerabilities, performance issues and style problems. https://github.com/tboy1337/Blinter

Dexter An autonomous agent for deep financial research https://github.com/virattt/dexter

Create Your Own Bash Computer Use Agent with NVIDIA Nemotron in One Hour A tutorial on building a computer use AI agent capable of executing multi-step tasks in a Bash shell, powered by the NVIDIA Nemotron Large Language Model. It covers creating the agent's brain, the Bash interface for safe command execution, and the agent loop, demonstrating how to build and deploy an autonomous assistant within an hour. https://www.youtube.com/watch?v=F7f-eFou2-o

caniscrape Know before you scrape. Analyze any website's anti-bot protections in seconds. https://github.com/ZA1815/caniscrape

Katakate Self-hosted secure VM sandboxes for AI compute at scale. https://github.com/Katakate/k7

Introducing PyTorch Monarch PyTorch Monarch is a distributed programming framework designed to simplify scaling AI workflows by enabling a single-controller model that orchestrates distributed resources like a single machine. It provides actor-based programming with scalable messaging, fault tolerance, and distributed tensor support, allowing seamless development, debugging, and efficient handling of large-scale tr... https://pytorch.org/blog/introducing-pytorch-monarch/

Recursive Language Models Recursive Language Models (RLMs) let language models recursively call themselves within an environment, like a Python REPL, to handle extremely long contexts without performance drop (context rot). They dynamically break down queries into smaller parts, delivering strong, cost-efficient results on big benchmarks and enabling scalable, interpretable reasoning beyond fixed context limits. https://alexzhang13.github.io/blog/2025/rlm/

Pyscripter – open-source Python IDE written in Delphi https://github.com/pyscripter/pyscripter

DeepAnalyze: Agentic Large Language Models for Autonomous Data Science DeepAnalyze is the first agentic LLM for autonomous data science, supporting: 🛠 Data preparation, analysis, modeling, visualization, and insight. 🔍 Data research and produce research reports. https://github.com/ruc-datalab/DeepAnalyze

Three times faster with lazy imports This post tests Python 3.15’s proposed PEP 810 explicit lazy imports, which delay loading modules until first use to cut startup time.? Using the feature on author's CLI tool pypistats, he found it ran 2.92× faster (reducing startup from 104 ms to 36 ms), demonstrating how lazy imports can significantly speed up Python applications with large dependency graphs. https://hugovk.dev/blog/2025/lazy-imports/

Modshim – a new alternative to monkey-patching in Python https://github.com/joouha/modshim

The future of Python web services looks GIL-free The free-threaded Python variant in 3.14 removes the Global Interpreter Lock (GIL), enabling true parallel multithreading for CPU-bound tasks. While it may have a modest performance cost on single-threaded code, it significantly improves memory efficiency and concurrency in web applications, simplifying deployment and boosting throughput, especially for ASGI and WSGI based services.​ https://blog.baro.dev/p/the-future-of-python-web-services-looks-gil-free

DeepAnalyze: Agentic Large Language Models for Autonomous Data Science DeepAnalyze is the first agentic LLM for autonomous data science, supporting: 🛠 Data preparation, analysis, modeling, visualization, and insight. 🔍 Data research and produce research report. https://ruc-deepanalyze.github.io/

uv-lock-report A GitHub Action to report changes to uv.lock. https://github.com/mw-root/uv-lock-report