PythonHub

streamable Stream-like manipulation of Python iterables: fluent, typed, lazy, concurrent. https://github.com/ebonnal/streamable

How to Use FastAPI for Machine Learning Learn how to use FastAPI for machine learning. Explore the framework's benefits and why it's popular, and understand how to integrate it into your ML workflows. https://blog.jetbrains.com/pycharm/2024/09/how-to-use-fastapi-for-machine-learning/

unclecode / crawl4ai 🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper https://github.com/unclecode/crawl4ai

weather_landscape Visualizing Weather Forecasts Through Landscape Imagery. https://github.com/lds133/weather_landscape

How to Design an AWESOME Function Signature in Python This video demonstrates how to design a great function header in Python, highlighting aspects that are often overlooked but can significantly impact the quality of the code. Important considerations will be discussed to enhance coding practices and improve overall functionality. https://www.youtube.com/watch?v=WI6CqykFbDc

Multi-dimensional Sparse Arrays in SciPy The article explores multi-dimensional sparse arrays and their implementation in scientific computing, focusing on their efficiency in handling large datasets with mostly empty or zero-valued elements. It emphasizes the benefits of sparse arrays for memory optimization and computational performance in various data-heavy applications. https://labs.quansight.org/blog/multi-dimensional-sparse-arrays

simonw / llm Access large language models from the command-line https://github.com/simonw/llm

MemoRAG Empowering RAG with a memory-based data interface for all-purpose applications! https://github.com/qhjqhj00/MemoRAG

Everything you need to know about Python 3.13 – JIT and GIL went up the hill https://drew.silcock.dev/blog/everything-you-need-to-know-about-python-3-13/

RoboTwin Dual-Arm Robot Benchmark with Generative Digital Twins. https://github.com/TianxingChen/RoboTwin

Inside Bento: Jupyter Notebooks at Meta Meta has developed Bento, an internal platform that enhances Jupyter notebooks with features like version control, collaborative editing, and automated dependency management. This system, which handles over 150,000 notebooks and supports 18,000 monthly active users, aims to improve productivity and collaboration for data scientists and engineers across Meta's various teams and projects. https://engineering.fb.com/2024/09/17/data-infrastructure/inside-bento-jupyter-notebooks-at-meta/

Refactoring Python with Tree-sitter and Jedi https://jackevans.bearblog.dev/refactoring-python-with-tree-sitter-jedi/

Moshi A speech-text foundation model for real time dialogue. https://github.com/kyutai-labs/moshi

What are some well-known, universally understood things that a self learner might miss? https://www.reddit.com/r/learnpython/comments/1fsol3z/what_are_some_wellknown_universally_understood/

WTF is ASGI and WSGI in python apps? https://samagra.me/wtf/2024/09/27/gateway-interfaces.html

Building RAG with Postgres A step by step guide to building a RAG system with Postgres. https://anyblockers.com/posts/building-rag-with-postgres

SurfSense Personal AI Assistant for World Wide Web Surfers. Research & Never forget anything you see on the Internet. https://github.com/MODSetter/SurfSense

Bringing multithreading to Python's async event loop https://github.com/NeilBotelho/turboAsync

7 New Typing Features in Python 3.13 https://medium.com/techtofreedom/7-new-typing-features-in-python-3-13-58caae5f2f10?sk=6ee66766ba372ea1f62b44a0ef08012d

An In-Depth Guide to Contrastive Learning: Techniques, Models, and Applications Discover the fundamentals of contrastive learning, including key techniques like SimCLR, MoCo, and CLIP. Learn how contrastive learning improves unsupervised learning and its practical applications. https://myscale.com/blog/what-is-contrastive-learning