PythonHub

datalab-to / marker Convert PDF to markdown + JSON quickly with high accuracy https://github.com/datalab-to/marker

TensorRT-Model-Optimizer A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed. https://github.com/NVIDIA/TensorRT-Model-Optimizer

I decoupled FastAPI dependency injection system in pure python, no dependencies. https://www.reddit.com/r/Python/comments/1ndj5vz/i_decoupled_fastapi_dependency_injection_system/

wall-x Building General-Purpose Robots Based on Embodied Foundation Model. https://github.com/X-Square-Robot/wall-x

IBM / mcp-context-forge A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE, Streamable HTTP). https://github.com/IBM/mcp-context-forge

Add Agents to your Web Applications with Pydantic AI and Django The video demonstrates how to integrate Pydantic AI with Django to add agent-like features to web applications, allowing developers to enrich chatbots with app-specific context and tools such as real-time weather services and database interactionsattached file. It showcases building customizable agents that can use dependencies, execute functions, and securely manipulate database recor... https://www.youtube.com/watch?v=Z33IBfgVbxI

HunxByts / GhostTrack Useful tool to track location or mobile number https://github.com/HunxByts/GhostTrack

Pyproc – Call Python from Go Without CGO or Microservices https://github.com/YuminosukeSato/pyproc

Python REPL Shortcuts & Features Python 3.13 introduced a completely redesigned REPL with a much more modern feel. It's easy to overlook many of the features in the new Python REPL. Let's explore the various hidden features the new Python REPL supports, with a focus on tips that are useful for everyday usage. https://www.pythonmorsels.com/repl-features/

Starplot Starplot is a Python library for creating star charts and maps of the sky. https://starplot.dev/

Production-Grade Python Logging Made Easier with Loguru This guide will walk you through building a robust logging system with Loguru. We'll directly address the patterns and pain points of the standard logging module and show how Loguru simplifies them. https://www.dash0.com/guides/python-logging-with-loguru

MathFlow: an easy-to-use math library for python https://www.reddit.com/r/Python/comments/1nfyq8o/mathflow_an_easytouse_math_library_for_python/

🌊 PySurf v1.2.0 – Lightweight Python Browser https://www.reddit.com/r/Python/comments/1mr1vlw/pysurf_v120_lightweight_python_browser/

10 Standard Library Modules That Make Python Insanely Powerful The video highlights 10 powerful, sometimes overlooked Python standard library modules such as dataclasses for reducing boilerplate, pathlib for modern file path handling, functools for caching and functional utilities, and tomllib for parsing TOML configs. It showcases practical code examples illustrating how these modules can simplify development, improve performance, and reduce depend... https://www.youtube.com/watch?v=eZ9RqnkJxsk

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