Programming with LLM Agents in 2025

In this video, Sentdex offers tips and tricks for building with modern LLM agents, using OpenHands as an example but applicable to other web-based UIs and agents. It covers practical advice for leveraging LLMs effectively, with resources including the OpenHands GitHub repository, a neural networks book, and community channels for support and discussion.

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

KTransformers

A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations.

https://github.com/kvcache-ai/ktransformers

The Best Way to Use Text Embeddings Portably is With Parquet and Polars

This article advocates using Parquet files, paired with the Polars library in Python, as an efficient and portable alternative to vector databases for storing and querying text embeddings in smaller projects. It demonstrates how this approach enables fast similarity searches and metadata filtering, outperforming traditional methods like CSV files and offering a balance between simplicity...

https://minimaxir.com/2025/02/embeddings-parquet/

FastRTC

Turn any python function into a real-time audio and video stream over WebRTC or WebSockets.

https://fastrtc.org/

Cracking the Python Monorepo

This article explores using uv and Dagger to manage Python monorepos, aiming to solve challenges like slow CI/CD pipelines and complex dependency management. It details setting up a monorepo with these tools, achieving efficient end-to-end pipeline caching and easy local/CI execution.

https://gafni.dev/blog/cracking-the-python-monorepo/

SkyThought

Train your own O1 preview model within $450.

https://github.com/NovaSky-AI/SkyThought

TinyCompiler

Writing a compiler in a week-end.

https://github.com/ssloy/tinycompiler

An Introduction to Flask-SQLAlchemy in Python

This article introduces Flask-SQLAlchemy, a Flask extension simplifying database management by integrating SQLAlchemy with Flask applications. It explains SQLAlchemy's core components (Core and ORM) and demonstrates how Flask-SQLAlchemy streamlines configuration, session management, and querying in Flask-based projects with a practical example.

https://blog.appsignal.com/2025/02/26/an-introduction-to-flask-sqlalchemy-in-python.html

Visualizing F1 race results using Polars and Great Tables

Programmatically create an F1 race analysis table using the FastF1 API, the Great Tables library, and Polars.

https://jimmieyoo.com/posts/F1_Race_Result_Tables_Using_Python_and_Polars_2024_Australian_GP.html

Design of Everyday APIs

What makes a good API for a library? How can you design an API that is delightful to use? This post walks through the principles of what goes into user-centered design and how best to apply those principles when writing a Python library for fellow developers.

https://roguelynn.com/words/everyday-apis

Codegen

A python library for manipulating codebases.

https://github.com/codegen-sh/codegen-sdk

FlashMLA

FlashMLA is an efficient MLA decoding kernel for Hopper GPUs, optimized for variable-length sequences serving.

https://github.com/deepseek-ai/FlashMLA

Creating drum machines, effects, sequencers, samplers, and synths with Python

I created a subreddit where I post scripts showing how to make drum machines, sequencers, samplers, and synths with Python.

https://www.reddit.com/r/supriya_python/s/wFMjENJQ02

vlmrun-hub

A hub for various industry-specific schemas to be used with VLMs.

https://github.com/vlm-run/vlmrun-hub

Ditching Django Admin for FastHTML with HTMX

Building a Django Admin-like dashboard with automatic refresh using FastHTML and HTMX.

https://simn.fr/posts/dicthing-django-admin-for-fasthtml

Building AI Agents for JupyterLab using Notebook Intelligence

This post introduces Notebook Intelligence (NBI), an AI coding assistant framework for JupyterLab, and demonstrates how to build AI Agents using NBI's tool-calling capabilities with examples of tools for geo-coordinate lookup, map generation, notebook creation, and sharing. It provides a guide for developers to integrate custom AI-powered functionalities into JupyterLab's Copilot Chat.

https://blog.jupyter.org/building-ai-agents-for-jupyterlab-using-notebook-intelligence-0515d4c41a61