PythonHub

spec-kit Toolkit to help you get started with Spec-Driven Development. https://github.com/github/spec-kit

Testing the compiler optimizations your code relies on Sometimes you can trick the compiler into generating more efficient code. How can you test this optimization continues to be applied? https://pythonspeed.com/articles/testing-compiler-optimizations/

Scaling asyncio on Free-Threaded Python A recap on the work done in Python 3.14 to enable asyncio to scale on the free-threaded build of CPython. https://labs.quansight.org/blog/scaling-asyncio-on-free-threaded-python

Intro to Fine-Tuning Large Language Models This course explores key techniques for adapting pre-trained LLMs to specialized tasks, including supervised fine-tuning, RLHF, and efficient QLoRA-based methods. It covers both theory and hands-on implementation, guiding viewers through practical steps to fine-tune and deploy massive language models using Python, PyTorch, and Hugging Face tools https://www.youtube.com/watch?v=H-oCV5brtU4

Wove: Beautiful Python async https://www.reddit.com/r/Python/comments/1mv4tyb/wove_beautiful_python_async/

HKUDS / DeepCode "DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)" https://github.com/HKUDS/DeepCode

PythonBPF – Writing eBPF Programs in Pure Python https://xeon.me/gnome/pythonbpf/

Stop building UI frameworks in Python https://www.reddit.com/r/Python/comments/1nbkych/stop_building_ui_frameworks_in_python/

XLeRobot Practical Dual-Arm Mobile Home Robot for $660. https://github.com/Vector-Wangel/XLeRobot

Stelvio AWS for Python devs - made simple. https://github.com/stelviodev/stelvio

Newelle Your Ultimate Virtual Assistant. https://github.com/qwersyk/Newelle

How to Build Python Code with Bazel (and Why) The post details how Bazel can optimize building Python projects by managing dependencies accurately, avoiding unnecessary rebuilds, and supporting multi-language setups like adding Rust extensions. Bazel’s declarative build configurations enable efficient and consistent builds, improving CI turnaround times and scalability as projects growattached file. https://ohadravid.github.io/posts/2025-09-hello-bazel/

Ducky An open-source, all-in-one desktop application for network engineers, students, and enthusiasts. https://github.com/thecmdguy/Ducky

Python Hub Weekly Digest for 2025-09-14 https://pythonhub.dev/digest/2025-09-14/

Kronos A Foundation Model for the Language of Financial Markets. https://github.com/shiyu-coder/Kronos

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