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News & links about Python programming. https://pythonhub.dev/ Administrator: @rukeba
ditto
The simplest self-building coding agent.
https://github.com/yoheinakajima/ditto
The New Python 3.13 Is FINALLY Here!
Python 3.13 is here with exciting updates! Dive into the key new features, including the game-changing option to disable the Global Interpreter Lock (GIL).
https://www.youtube.com/watch?v=eUDGlxu_-ic
Python Hub Weekly Digest for 2024-10-20
https://pythonhub.dev/digest/2024-10-20/
Otter Wiki: A minimalistic wiki powered by Python, Markdown and git
https://otterwiki.com/
I Understand Machine Learning with Numpy and PyTorch Better Since I Started Focusing on the Basics
https://www.reddit.com/r/Python/comments/1g1uuyc/i_understand_machine_learning_with_numpy_and/
Python 3.13.0
The newest major release of Python introduces several new features including an improved interactive interpreter, an experimental free-threaded build mode, and a preliminary JIT, along with various optimizations and changes to the standard library.
https://www.python.org/downloads/release/python-3130/
Python client for the $20 Colmi R02 smart ring
https://tahnok.github.io/colmi_r02_client/colmi_r02_client.html
Django + Postgres: The Hunt for Long Running Queries
Using django-pgactivity for application-level monitoring of database queries.
https://pgilmartin.substack.com/p/django-postgres-the-hunt-for-long
Splink
Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends.
https://github.com/moj-analytical-services/splink
NanoCube
Lightning fast OLAP-style point queries on Pandas DataFrames.
https://github.com/Zeutschler/nanocube
CSnakes
A tool for embedding Python into .NET projects.
https://github.com/tonybaloney/csnakes
Django: Introducing Djade, a template formatter
Happy DjangoCon US 2024 to you.
Whilst I am not there, I have adopted the spirit of the season and ...
https://adamj.eu/tech/2024/09/26/django-introducing-djade/
gptme
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision.
https://github.com/ErikBjare/gptme
Python Hub Weekly Digest for 2024-10-13
https://pythonhub.dev/digest/2024-10-13/
Pyloid
Pyloid is the Python backend version of Electron and Tauri, providing an open-source project that allows you to easily utilize various Python integration features. With Pyloid, developing desktop applications becomes simple, enabling you to effortlessly build apps by integrating Python's powerful capabilities.
https://github.com/pyloid/pyloid
Custom Dictionary Types in Pydantic
A quick primer on leveraging custom root types for this task.
https://bryananthonio.com/blog/pydantic-custom-dictionary-types/
In the Making of Python Fitter and Faster
How Python's recent performance improvements work under the hood.
https://sumercip.com/posts/making-python-fitter-and-faster/
Pyinstrument v5.0 - flamegraphs for Python!
https://www.reddit.com/r/Python/comments/1g1az6i/pyinstrument_v50_flamegraphs_for_python/
Python 3.13 and the Latest Trends: A Developer’s Guide to 2025
Learn about the exciting new features in Python 3.13. Get insider insights into the latest updates and learn about the plans for Python 3.14.
https://www.youtube.com/live/GPwYSf1t8Lw
TypedDicts are better than you think
This post explains how Python’s TypedDict can enhance code clarity and maintainability by enabling more precise type annotations in dictionaries. It discusses how TypedDict ensures type safety and helps with early error detection in dynamic programming environments.
https://blog.changs.co.uk/typeddicts-are-better-than-you-think.html
Niquests
Niquests is a simple, yet elegant, HTTP library. It is a drop-in replacement for Requests, which is under feature freeze.
https://github.com/jawah/niquests
Django dashboard
give your django dashboard a new modern skin with new features,
Mobile responsive and customizable on top of tailwindcss
https://github.com/hypy13/django-daisy/
Python and SysV shared memory
The article explains how to use Python's ctypes to wrap SystemV shared memory functions (like shmat, shmget) for interprocess communication on systems restricted to Python 3.7. The author demonstrates creating, reading, writing, and destroying shared memory segments through Python, noting that while this approach isn't needed in Python 3.8+ due to built-in abstractions, it's useful in re...
https://euroquis.nl/blabla/2024/10/08/shm.html
Switching from virtualenvwrapper to direnv, Starship, and uv
Earlier this week I considered whether I should finally switch away from virtualenvwrapper to using ...
https://treyhunner.com/2024/10/switching-from-virtualenvwrapper-to-direnv-starship-and-uv/
uv IS the Future of Python Packaging
The video discusses the recent release of UV 0.3.0, a Python packaging tool that aims to streamline the development workflow by integrating features that allow it to serve as a comprehensive solution for managing Python projects. The presenter highlights its speed, ease of use, and potential to replace existing tools, while also addressing current limitations and areas for improvement in...
https://www.youtube.com/watch?v=8UuW8o4bHbw
Scaling AI-Based Data Processing with Hugging Face + Dask
The article demonstrates how to scale AI-based data processing using Hugging Face and Dask, progressing from processing 100 rows locally with pandas to handling 211 million rows across multiple GPUs in the cloud. It showcases the use of Dask for distributed computing, enabling efficient data loading, preprocessing of large datasets, and parallel model inference, with a practical example ...
https://huggingface.co/blog/dask-scaling
Programming and poetry (not Python's tool)
https://zverok.space/blog/2024-10-06-poetry.html
Building internal AI tools with Streamlit
The article explains how to build internal AI tools using Streamlit and PropelAuth for authentication. It walks through setting up secure user authentication and integrating with AI models, making it easier to build AI-driven web apps for internal company use.
https://www.propelauth.com/post/internal-ai-tools-with-streamlit
Building an image search engine on Postgres
This post demonstrates how to build a basic image search engine using Postgres, CLIP (a pre-trained AI model), and the pgvector extension. It explains the process of generating embeddings for images and text, storing them in Postgres, and performing similarity searches using both image and text queries1
https://tembo.io/blog/image-search