PythonHub

I wrote a Turing complete language / interpreter on top of Python. https://www.reddit.com/r/Python/comments/1hnfqhi/i_wrote_a_turing_complete_language_interpreter_on/

Symbolic Reference and Hardware Models in Python https://tomverbeure.github.io/2024/12/27/A-Symbolic-HW-Model-in-Python.html

SSH Scripting with Fabric and Python Reading and writing files is a basic task that most software applications need to do. You will also ... https://www.blog.pythonlibrary.org/2024/10/16/ssh-scripting-with-fabric-and-python/

Checking Python Code with GitHub Actions When you are working on your personal or work projects in Python, you usually want to have a way to ... https://www.blog.pythonlibrary.org/2024/12/10/checking-python-code-with-github-actions/

DrewThomasson / ebook2audiobook Convert ebooks to audiobooks with chapters and metadata using dynamic AI models and voice cloning. Supports 1,107+ languages! https://github.com/DrewThomasson/ebook2audiobook

Python: debug unraisable exceptions with Rich Take this Python class: class Widget: def del(self): 1 / 0 It implements a del ... https://adamj.eu/tech/2025/01/02/python-unraisiable-exceptions/

OpenSPG / KAG KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model. https://github.com/OpenSPG/KAG

All your Python project in one file with shiv Summary(This article assumes you are comfy with pip + venv. If you are not, we have articles for ... https://www.bitecode.dev/p/all-your-python-project-in-one-file

Effective Python Developer Tooling in December 2024 https://www.reddit.com/r/Python/comments/1hjcng4/effective_python_developer_tooling_in_december/

comet-ml / opik From RAG chatbots to code assistants to complex agentic pipelines and beyond, build LLM systems that run better, faster, and cheaper with tracing, evaluations, and dashboards. https://github.com/comet-ml/opik

Python Hub Weekly Digest for 2024-12-29 https://pythonhub.dev/digest/2024-12-29/

BlackSheep: Fast ASGI web framework for Python https://github.com/Neoteroi/BlackSheep

Building an LLM-Powered Slackbot This article describes Benchling's development of a Slackbot powered by a Large Language Model (LLM). The LLM taps into a knowledge base stored in Amazon Bedrock, allowing developers to ask questions and receive answers directly through the familiar Slack interface. https://benchling.engineering/building-an-llm-powered-slackbot-557a6241e993

systemd-pilot Desktop application for managing systemd services. https://github.com/mfat/systemd-pilot

Uv, a fast Python package and project manager https://docs.astral.sh/uv/

Debugging Python with VS Code and Sentry Pairing VS Code and Sentry can lead to quicker resolved issues in your app. Learn how to debug your Python project with these two tools here. https://blog.sentry.io/debugging-python-with-vs-code-and-sentry/

How the CIA Writes Python The article explores the CIA's Python coding practices, including their style guide based on Google's, preferences for Python versions, and practical insights on development tools. It highlights unique aspects like using local PyPI servers, specific testing setups, and templates for CLI scripts, reflecting a blend of security considerations and pragmatic development approaches. https://compileralchemy.substack.com/p/how-the-cia-writes-python

Spectral Imaging Made Easy: A Powerful Python Library https://github.com/siapy/siapy-lib

CodeGate https://github.com/stacklok/codegate

PipeFunc: Build Lightning-Fast Pipelines with Python - DAGs Made Easy https://www.reddit.com/r/Python/comments/1hk85dp/pipefunc_build_lightningfast_pipelines_with/