Ask HN: High quality Python scripts or small libraries to learn from

1. openai-cookbook

   1 245 73,964 9.4 Jupyter Notebook

   Examples and guides for using the OpenAI API

   

   https://github.com/openai/openai-cookbook/blob/main/examples...

2. SaaSHub

   www.saashub.com featured

   SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

   

3. ruff

   2 149 47,830 10.0 Rust

   An extremely fast Python linter and code formatter, written in Rust.

   

   I think I mention this all the time when this comes up, but I learned the most 'best practices' through using ruff.

   https://docs.astral.sh/ruff/

   I just installed and enabled all the rules by setting

4. simonw

   3 16 435 9.7 Python

   https://simonwillison.net/2020/Jul/10/self-updating-profile-readme/

   

   Everything @simonw has worked on, honestly: https://github.com/simonw

5. datasette

   4 208 11,152 9.5 Python

   An open source multi-tool for exploring and publishing data

   

   Simon Willison's github would be a great place to get started imo -

   https://github.com/simonw/datasette

6. sqlite-utils

   5 41 2,064 8.1 Python

   Python CLI utility and library for manipulating SQLite databases

   

   https://github.com/simonw/sqlite-utils

   So, his code might not be a good place to find best patterns (for ex, I don't think they are fully typed), but his repos are very pragmatic, and his development process is super insightful (well documented PRs for personal repos!). Best part, he blogs about every non-trivial update, so you get all the context!

7. elements-of-python-style

   6 2 3,478 3.1

   Goes beyond PEP8 to discuss what makes Python code feel great. A Strunk & White for Python.

   

   I had 2 suggestions (plus a blog post) in my style guide here:

   https://github.com/amontalenti/elements-of-python-style#some...

   The style guide itself, published a few years back, also has some suggestions with small code snippets.

8. beyond-jupyter

   7 1 382 3.7 Jupyter Notebook

   Software design principles for machine learning applications

   

   If you're looking for some best practices related but limited to machine learning application code, you could have a look at [Beyond Jupyter](https://github.com/aai-institute/beyond-jupyter)

   Here's an excerpt from the readme:

9. pytudes

   8 113 24,334 9.1 Jupyter Notebook

   Python programs, usually short, of considerable difficulty, to perfect particular skills.

   

   Peter Norvig's work is great to learn from https://github.com/norvig/pytudes

10. Flask

    9 155 71,648 8.2 Python

    The Python micro framework for building web applications.

    

    I'd suggest Flask or some of the smaller projects in the Pallets ecosystem:

    https://github.com/pallets/flask

11. pytheus

    10 6 97 5.5 Python

    experimenting with a new prometheus client for python

    

    I don't know if I can consider my code "Great" but I dedicated way too many months on a prometheus library where I focused on quality since I did it for me.

    It's relatively small and I think the main take away would be the use of Protocols for the pluggable backend system. I hope you get something out of it :)

    https://github.com/Llandy3d/pytheus

12. tasktiger

    11 3 1,465 5.8 Python

    Python task queue using Redis

    

    I've recently looked at tasktiger https://github.com/closeio/tasktiger. It's a simple queue system that helped me understand how workers and schedulers work.

13. starcel-panda3d

    12 1 4 7.2 Python

    

    Check out https://github.com/recursion-computing/starcel-panda3D for bleeding edge Python OS development

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