PythonHub

PydanticAI: the AI Agent Framework Winner The video showcases how to use Pydantic AI to build Python applications with AI-powered agents that provide validated, structured outputs by integrating large language models like GPT-5. It demonstrates a healthcare triage assistant that personalizes responses using domain data, dependencies, and customizable prompts, enabling robust, real-world AI integration beyond simple chatbots. https://www.youtube.com/watch?v=-WB0T0XmDrY

sync-with-uv The sync-with-uv package automates version synchronization between uv.lock and .pre-commit-config.yaml, ensuring consistent dependency management for tools like black, ruff, and mypy. It integrates as a pre-commit hook, streamlining workflows by aligning versions from a single source while leaving unspecified tools unchanged. https://github.com/tsvikas/sync-with-uv

vLLM with torch.compile: Efficient LLM inference on PyTorch Learn how to optimize PyTorch code with minimal effort using torch.compile, a just-in-time compiler that generates optimized kernels automatically. https://developers.redhat.com/articles/2025/09/03/vllm-torchcompile-efficient-llm-inference-pytorch

Polars GPU Execution. (70% speed up) Polars' new GPU engine, powered by NVIDIA RAPIDS cuDF, accelerates data processing up to 70% compared to CPU-based execution, enabling faster handling of large datasets. The beta release supports common operations, leveraging GPU parallel processing for significant performance gains in data analytics workflows. https://dataengineeringcentral.substack.com/p/polars-gpu-execution-70-speed-up

yesglot LLM-powered Django translations. Just call me "python manage.py translatemessages" https://github.com/efe/yesglot

WhisperLiveKit Real-time & local speech-to-text, translation, and speaker diarization. With server & web UI. https://github.com/QuentinFuxa/WhisperLiveKit

Zuban Zuban is a high-performance Python Language Server and type checker implemented in Rust, by the author of Jedi. Zuban is 20–200× faster than Mypy, while using roughly half the memory and CPU compared to Ty and Pyrefly. It offers both a PyRight-like mode and a Mypy-compatible mode, which behaves just like Mypy; supporting the same config files, command-line flags, and error messages. https://github.com/zubanls/zuban

Youtu-agent A simple yet powerful agent framework that delivers with open-source models. https://github.com/Tencent/Youtu-agent

Sharing a mutable reference between Rust and Python https://blog.lilyf.org/posts/python-mutable-reference/

toolfront Simple data retrieval for AI with unmatched control, precision, and speed. https://github.com/kruskal-labs/toolfront

How I write Django views The author advocates using Django's base View class over generic class-based or function-based views for simplicity and flexibility in handling HTTP requests. By avoiding complex mixins and leveraging straightforward helper methods, developers can write clearer, more maintainable view code with minimal cognitive overhead. https://www.loopwerk.io/articles/2025/django-views/

Niche Python tools, libraries and features - whats your favourite? https://www.reddit.com/r/Python/comments/1n7r4xb/niche_python_tools_libraries_and_features_whats/

PageIndex PageIndex is a reasoning-based RAG system that simulates how human experts navigate and extract knowledge from long documents through tree search, enabling LLMs to think and reason their way to the most relevant document sections. https://github.com/VectifyAI/PageIndex

Speeding up PyTorch inference by 87% on Apple devices with AI-generated Metal kernels The post describes how AI models can automatically generate optimized Metal GPU kernels that speed up PyTorch inference on Apple devices by an average of 87% across 215 modules, with some kernels running hundreds of times faster than baseline. Using an agentic swarm approach and adding context like CUDA references and profiling data, the system outperforms standalone models, making kerne... https://gimletlabs.ai/blog/ai-generated-metal-kernels

When You No Longer Need That Object • Dealing With Garbage in Python Let's explore reference counting and cyclic garbage collection in Python. https://www.thepythoncodingstack.com/p/python-garbage-collection-reference-counting-and-cyclic

Python: capture stdout and stderr in unittest The article explains how to capture stdout and stderr during Python unittest runs using contextlib.redirectstdout and redirectstderr, enabling tests to programmatically access console output. It also provides examples and custom context managers to simplify capturing both streams simultaneously, improving test logging and debugging capabilities. https://adamj.eu/tech/2025/08/29/python-unittest-capture-stdout-stderr/

playwright-use playwright-use turns natural-language UI test goals into executable Playwright steps using AI, then produces human-friendly and machine-readable reports with screenshots, video, and traces. https://pypi.org/project/playwright-use/

Build an AI Coding Agent in Python This tutorial teaches how to build a functional agentic AI coding assistant in Python using the free Gemini Flash API, covering agentic loops, tool-calling, file manipulation, and autonomous debugging. By constructing an agent that can read, modify, and execute code, viewers gain practical skills and deep insight into how modern coding agents operate beneath the surface. https://www.youtube.com/watch?v=YtHdaXuOAks

Elysia Elysia is an agentic platform designed to use tools in a decision tree. A decision agent decides which tools to use dynamically based on its environment and context. https://github.com/weaviate/elysia

Scheduling Background Tasks in Python with Celery and RabbitMQ We'll build background tasks using Celery and RabbitMQ to create a weather notification service. https://blog.appsignal.com/2025/08/27/scheduling-background-tasks-in-python-with-celery-and-rabbitmq.html