PythonHub

skrub A Python library that facilitates prepping your tables for machine learning. https://github.com/skrub-data/skrub/

meta-llama / llama-stack Model components of the Llama Stack APIs https://github.com/meta-llama/llama-stack

Spiderweb A small web framework, just big enough for a spider. Also check an https://github.com/itsthejoker/spiderweb

rerankers: A Lightweight Python Library to Unify Ranking Methods Re-ranking is an integral component of many retrieval pipelines; however, there exist numerous approaches to it, all with different implementation methods. To mitigate this, we propose rerankers, a Python library which provides a simple, easy-to-use interface to all commonly used re-ranking approaches. https://www.answer.ai/posts/2024-09-16-rerankers.html

Python Hub Weekly Digest for 2024-09-29 https://pythonhub.dev/digest/2024-09-29/

13 Python Quirks That Will Surprise You This video presents 13 peculiar aspects of Python programming, with the final example being particularly confusing for newcomers to the language. Each quirk is demonstrated through code examples, accompanied by explanations for their existence and behavior. https://www.youtube.com/watch?v=eufjIfVOm8s

Hy 1.0.0, the Lisp dialect for Python, has been released https://github.com/hylang/hy/discussions/2608

Totally blown away by python core libraries https://www.reddit.com/r/learnpython/comments/1fmqke0/totally_blown_away_by_python_core_libraries/

Building an Advanced RAG System With Self-Querying Retrieval https://www.mongodb.com/developer/products/atlas/advanced-rag-self-querying-retrieval

pyrtls rustls-based modern TLS for Python. https://github.com/djc/pyrtls

Deploying a Django app with Kamal, AWS ECR, and Github Actions The article provides a comprehensive guide on deploying a Django app using Kamal, AWS ECR, and GitHub Actions, offering a streamlined approach to containerized deployment. It covers setting up a VPS, creating a Dockerfile, configuring AWS ECR, setting up Kamal, and automating the deployment process with GitHub Actions, aiming to simplify the deployment workflow for developers. https://dylancastillo.co/posts/deploy-a-django-app-with-kamal-aws-ecr-and-github-actions.html

FastAgency The fastest way to bring multi-agent workflows to production. https://github.com/airtai/fastagency

Ask HN: Kotlin SpringBoot vs. Python Django for Min Viable Product https://news.ycombinator.com/item?id=41584157

Things I've learned serving on the board of the Python Software Foundation https://simonwillison.net/2024/Sep/18/board-of-the-python-software-foundation/

LLaMA-Omni LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level. https://github.com/ictnlp/LLaMA-Omni

Let’s build and optimize a Rust extension for Python Python code too slow? You can quickly create a Rust extension to speed it up. https://pythonspeed.com/articles/intro-rust-python-extensions/

Serializing package requirements in marimo notebooks Marimo now allows notebooks to serialize their package requirements as top-level comments, enabling users to run notebooks in isolated virtual environments with a single command. This feature, powered by the uv package manager, enhances reproducibility and sharing of notebooks by eliminating the need for separate requirements files and preventing environment pollution. https://marimo.io/blog/sandboxed-notebooks

spann3r 3D Reconstruction with Spatial Memory. https://github.com/HengyiWang/spann3r

What's in an e-graph? The article explains e-graphs by incrementally building from union-find to a full e-graph implementation, highlighting key features like equivalence class discovery, pattern matching, and extraction. It demonstrates how e-graphs can be used in compilers for optimizations, offering a more flexible alternative to traditional find-and-replace methods while discussing trade-offs and variatio... https://bernsteinbear.com/blog/whats-in-an-egraph/

RAG Is More Than Just Vector Search Go beyond vector search. Learn how to improve your RAG system with Text2SQL, filtered search, structured extraction, and eval-driven development. https://www.timescale.com/blog/rag-is-more-than-just-vector-search/