PythonHub

Python Hub Weekly Digest for 2024-12-15 https://pythonhub.dev/digest/2024-12-15/

Squashing Django Migrations the Easy Way The article outlines a step-by-step process for safely squashing Django migrations in large projects, using tools like django-model-info to visualize migration dependencies and identify safe linear paths for squashing. It emphasizes the importance of maintaining the migration graph's integrity, updating dependencies, and carefully deploying changes to reduce migration count without break... https://jacklinke.com/squashing-django-migrations-the-easy-way

Astral (uv/ruff) will be taking stewardship of python-build-standalone https://www.reddit.com/r/Python/comments/1h8qoxl/astral_uvruff_will_be_taking_stewardship_of/

Progresspal A decentralized python iterable, function and log tracker. https://github.com/levi2234/Progresspal

RAGLite RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite. https://github.com/superlinear-ai/raglite

Python with Rizz https://github.com/shamith09/pygyat

agenta The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM Observability all in one place. https://github.com/Agenta-AI/agenta

Now I Know Why Most People Don’t Use gRPC This video explores gRPC, a compelling alternative to REST that’s gaining traction in distributed systems. Watch until the end of the video to find out if it’s worth ditching REST for it. https://www.youtube.com/watch?v=WpXs7e7kEoI

judges A small library of LLM judges. https://github.com/quotient-ai/judges

infinition / Bjorn Bjorn is a powerful network scanning and offensive security tool for the Raspberry Pi with a 2.13-inch e-Paper HAT. It discovers network targets, identifies open ports, exposed services, and potential vulnerabilities. Bjorn can perform brute force attacks, file stealing, host zombification, and supports custom attack scripts. https://github.com/infinition/Bjorn

PyData NYC 2024 Videos PyData NYC 2024 talks videos are available now. https://www.youtube.com/playlist?list=PLGVZCDnMOq0ohEIZ-_wM2W_xqSVjyA3dC

Advanced Python Development Workflow in Emacs This guide explores how to evolve Emacs into a robust Python IDE. Whether you’re writing simple scripts or managing large-scale projects, you’ll find a setup that aligns with your engineering needs and reflects the power of Emacs customization. https://blog.serghei.pl/posts/emacs-python-ide/

Build a Stable Diffusion VAE From Scratch using Pytorch Learn how to Build a Stable Diffusion VAE From Scratch using Pytorch. VAE stands for Variational Autoencoder. It's a type of Autoencoder and a neural network that trains using an unsupervised technique. They are widely used in Image generation models mainly on latent diffusion-based and GANs-based image generation models. https://www.youtube.com/watch?v=kG9l41Dtuyo

Python 3.13.1, 3.12.8, 3.11.11, 3.10.16 and 3.9.21 are now available https://pythoninsider.blogspot.com/2024/12/python-3131-3128-31111-31016-and-3921.html

ai-hedge-fund An AI-powered hedge fund that uses multiple agents to make trading decisions. The system employs several specialized agents working together. https://github.com/virattt/ai-hedge-fund

Creating a Web App using only Python with Taipy This tutorial teaches you how to create a web application with interactive charts and multiple pages using Python and the Taipy library. Taipy allows you to build these features without needing extensive web development experience. https://www.youtube.com/watch?v=4F-266YnTkM

FAESM A Drop-in Efficient Pytorch Implementation of ESM. https://github.com/pengzhangzhi/faesm

PydanticAI PydanticAI is a Python Agent Framework designed to make it less painful to build production grade applications with Generative AI. https://github.com/pydantic/pydantic-ai

PyCon Australia 2024 Videos PyCon Australia 2024 talks videos are available now. https://www.youtube.com/playlist?list=PLs4CJRBY5F1Jn7fWZyMgogpPsu1vAZKB2

I trained myself to run farther using the Strava API and an IOT dog food bowl full of M&Ms David Mayer shares how he used an IoT dog food dispenser filled with M&Ms and connected to the Strava API to reward himself for running. This experiment in classical conditioning helped him form a lasting running habit, culminating in completing a half marathon without relying on the dispenser anymore. https://www.mayer.cool/writings/pavlovs-half-marathon/