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

• openai-cookbook

  215 55,954 9.5 MDX

  Examples and guides for using the OpenAI API

  

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

• ruff

  95 26,725 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

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• simonw

  9 380 9.9 Python

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

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

• datasette

  187 8,934 9.3 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

• sqlite-utils

  35 1,510 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!

• elements-of-python-style

  1 3,389 -

  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.

• beyond-jupyter

  1 177 9.2 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:

• SaaSHub

  www.saashub.com featured

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

  

• pytudes

  100 22,397 8.3 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

• Flask

  135 66,417 8.7 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

• pytheus

  6 87 8.4 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

• tasktiger

  3 1,375 7.6 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.

• starcel-panda3d

  1 1 7.2 Python
  

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

Suggest a related project