PythonHub

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/

Formatron Formatron empowers everyone to control the format of language models' output with minimal overhead. https://github.com/Dan-wanna-M/formatron

FARM Stack Course – Full Stack Development with FastAPI, React MongoDB Learn full stack stack development with the FARM stack. You will learn to quickly create an application using FastAPI, React, and MongoDB. https://www.youtube.com/watch?v=PWG7NlUDVaA

ft_utils A library of utilities to support efficient, scalable Python development leveraging Free Threaded Python. https://github.com/facebookincubator/ft_utils

Some tricks with UV UV can be seen as an alternative to pip, but that might be a limiting way to think about the tool. Instead of looking at faster builds, which are still super nice, it might also make sense to rethink the stuff that we might be able to do from Python going forward. https://www.youtube.com/watch?v=jXWIxk2brfk

WordLlama Things you can do with the token embeddings of an LLM. https://github.com/dleemiller/WordLlama

MiniLang A type-safe C successor that compiles directly to various platforms. https://github.com/NICUP14/MiniLang

Deep learning compilers and how the sausage is made A series of discussions focused on deep learning compilers and machine learning. It covers how deep learning models are optimized and deployed for practical use cases. The content dives into topics relevant for developers and engineers working with AI frameworks and model performance optimization. https://www.youtube.com/playlist?list=PLaMu-SDt_RB7ImARcTT_Wjypwx2vBIBen

Python Hub Weekly Digest for 2024-09-22 https://pythonhub.dev/digest/2024-09-22/

Python in Excel – Available Now https://techcommunity.microsoft.com/t5/excel-blog/python-in-excel-available-now/ba-p/4240212

Rust for the small things? but what about Python? https://dataengineeringcentral.substack.com/p/rust-for-the-small-things

Avoid These 7 Common OOP Mistakes in Python The video discusses common bad practices in Python object-oriented programming and how to avoid them. It covers issues like using classes unnecessarily instead of functions, overusing mixins, and excessive encapsulation, while providing practical examples and alternatives to improve code structure and readability. https://www.youtube.com/watch?v=yFLY0SVutgM

What do you think about Harvard CS50’s Introduction to Programming with Python – Full University Course? https://www.reddit.com/r/learnpython/comments/1faltb1/what_do_you_think_about_harvard_cs50s/

Injecting syscall faults in Python and Ruby The post introduces a Python and Ruby library called Cirron that allows developers to inject syscall faults for testing purposes. It demonstrates how to use Cirron to simulate various error conditions, such as disk space issues and network timeouts, by modifying syscall behavior, enabling more robust testing of error handling in software. https://blog.mattstuchlik.com/2024/09/08/injecting-syscall-faults.html

FluxMusic Text-to-Music Generation with Rectified Flow Transformers. https://github.com/feizc/FluxMusic

Python macOS Framework Builds Building Python with --enable-framework changes some stuff around; should you care? https://blog.glyph.im/2024/09/python-macos-framework-builds.html