Enhancing Neural Network Training at Yelp: Achieving 1,400x Speedup with WideAndDeep

This post delves into our journey of optimizing training time using TensorFlow and Horovod, along with the development of ArrowStreamServer, our in-house library for low-latency data streaming and serving. Together, these components have allowed us to achieve a 1400x speedup in training for business critical models compared to using a single GPU with Petastorm.

https://engineeringblog.yelp.com/2025/01/enhancing-neural-network-training-at-yelp.html

Why You Should Rethink Your Python Toolbox in 2025

Think you know Python? You might be stuck in 2023. 🚀 Stop using Pandas the old way—discover Hatch, UV, Pydantic, and more tools redefining Python development in 2025. Don't miss this!

https://python.plainenglish.io/why-you-should-rethink-your-python-toolbox-in-2025-3616b07b6121

Ragpi

An API-first AI assistant using Agentic RAG to search and answer questions from technical sources.

https://github.com/ragpi/ragpi

You Use This Python Feature Everyday - But Never Learned It...

Most Python developers never learned this feature, even though they use it every single day. All of the popular frameworks like Flask, FastAPI, Django, Pydantic, SQL, Alchemy; they all use Properties and Descriptors.

https://www.youtube.com/watch?v=WW7ppBY3jw4

MedSSS

Towards Medical Small Language Models with Self-Evolved \ Slow Thinking

https://github.com/pixas/MedSSS

smolGPT

A minimal PyTorch implementation for training your own small LLM from scratch. Designed for educational purposes and simplicity, featuring efficient training, flash attention, and modern sampling techniques.

https://github.com/Om-Alve/smolGPT

ExtractThinker

ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.

https://github.com/enoch3712/ExtractThinker

LLM Course – Build a Semantic Book Recommender (Python, OpenAI, LangChain, Gradio)

Discover how to build an intelligent book recommendation system using the power of large language models and Python. Learn to transform book descriptions into mathematical representations that enable precise content-based matching. By the end of this course, you'll have built a recommendation engine that helps readers discover their next favorite book.

https://www.youtube.com/watch?v=Q7mS1VHm3Yw

Portable Python Bundles on Windows

Packaging Python applications for Windows can be challenging. This post proposes "Python Bundles for Windows," a portable, lightweight convention resembling virtual environments but transferable across machines. It uses simple folder structures and scripts without new tools, offering flexibility and automation potential.

https://dev.to/treehouse/portable-python-bundles-on-windows-41ac

Dynamic Forms with Flask

The article discusses how to create dynamic forms in Flask using WTForms, allowing for flexible form generation based on user input or other conditions. It demonstrates techniques for adding or removing form fields dynamically, both on the server-side and client-side, enhancing the interactivity and functionality of web applications.

https://blog.miguelgrinberg.com/post/dynamic-forms-with-flask

browser-use / browser-use

Make websites accessible for AI agents

https://github.com/browser-use/browser-use

Open R1

Fully open reproduction of DeepSeek-R1.

https://github.com/huggingface/open-r1

FilmAgent

A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces.

https://github.com/HITsz-TMG/FilmAgent

YuE

Open Full-song Music Generation Foundation Model, something similar toSuno.aibut open

https://github.com/multimodal-art-projection/YuE

devin.cursorrules

Transform your $20 Cursor into a Devin-like AI Assistant.

https://github.com/grapeot/devin.cursorrules

sqlite-s3vfs

sqlite-s3vfs
Neat open source project on the GitHub organisation for the UK government's ...

https://simonwillison.net/2025/Feb/7/sqlite-s3vfs/#atom-everything

Vyper and Python Smart Contracts on Blockchain

This video covers blockchain software development from scratch using Python and Vyper, covering smart contract creation, Python scripting, and interaction with contracts. It also includes advanced topics like fuzzing, NFTs, algorithmic trading, AI, ERC20s, and DeFi, making it suitable for beginners and those looking to expand their blockchain development skills.

https://www.youtube.com/watch?v=nWsLw_1OpE0

The surprising way to save memory with BytesIO

If you want to save memory when reading from a BytesIO, getvalue() is surprisingly a good choice.

https://pythonspeed.com/articles/bytesio-reduce-memory-usage/