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FastMCP The fast, Pythonic way to build Model Context Protocol servers. https://github.com/jlowin/fastmcp

AI Runner AI Runner is a local-first tool that allows you to run open-source large language models (LLM) and AI image generators (Stable Diffusion) on your own hardware, without the need for a web server or cloud service. https://github.com/capsize-games/airunner

PyTorch and Python Free-Threading This post examines multi-threaded parallel inference on PyTorch models using the new No-GIL, free-threaded version of Python. Using a simple 124M parameter GPT2 model that we train from scratch, we explore the novel new territory unlocked by free-threaded Python: parallel PyTorch model inference, where multiple threads, unimpeded by the Python GIL, attempt to generate text from a transfo... https://trent.me/articles/pytorch-and-python-free-threading/

Deploy Django 5.2 from Scratch. Complete Guide This video provides a tutorial on deploying a Django project to Railway using modern deployment practices and covers setting up Python environments, Git, and configuring Django for production. It demonstrates how to use Railway's platform services to host and deploy Django applications with proper configurations, using Nixpacks or custom Dockerfiles. https://www.youtube.com/watch?v=A4Pn2lEdoLQ

nova-act Amazon Nova Act is a research preview of a new AI model for developers to build agents that take actions in web browsers. https://github.com/aws/nova-act

Dockerpyze Python applications to Docker, automatically. https://github.com/nicoloboschi/dockerpyze

How we started our async python migration Have you ever wanted to try an Async Python migration, but were unsure where to start? Read this post to find out! https://blog.duolingo.com/async-python-migration/

If-if-if or If-elif-elif when each condition is computationally expensive? https://www.reddit.com/r/learnpython/comments/1jeapm0/ififif_or_ifelifelif_when_each_condition_is/

coredumpy coredumpy saves your crash site for post-mortem debugging https://github.com/gaogaotiantian/coredumpy

I Let Python Pick My March Madness Bracket - Bracket Simulation Tutorial This tutorial guides viewers through creating a Python program that simulates the March Madness tournament, using team seeds to generate realistic probabilities and predict potential upsets. The program utilizes Python's dataclasses and the random module to build a tournament function that determines the champion. https://www.youtube.com/watch?v=4TFQD0ok5Ao

We hacked Gemini's Python sandbox and leaked its source code (at least some) https://www.landh.tech/blog/20250327-we-hacked-gemini-source-code/

Matlab's variable explorer is amazing. What's pythons closest? https://www.reddit.com/r/Python/comments/1jb1gzp/matlabs_variable_explorer_is_amazing_whats/

Xorq – open-source Python-first Pandas-style pipelines https://github.com/xorq-labs/xorq

Plain – a web framework for building products with Python https://plainframework.com/

Notebooks as reusable Python programs https://marimo.io/blog/python-not-json

Textcase: A Python Library for Text Case Conversion https://github.com/zobweyt/textcase