Last year I posted a similar Ask HN; it got 11 comments: https://news.ycombinator.com/item?id=38505531. I asked, "What lesser-known Python libraries do you wish people knew about?" The suggestions there are worth looking up. Don't miss DiskCache (https://github.com/grantjenks/python-diskcache).

I really like xmltodict (https://github.com/martinblech/xmltodict). Despite the name, it works in both directions. It is the most ergonomic library I have used for creating XML. It has external type stubs: https://pypi.org/project/types-xmltodict/.

Since you have recently discovered Rich, you may want rich-argparse (https://github.com/hamdanal/rich-argparse). It colorizes argparse CLIs with little effort from the user.

DeepDiff (https://github.com/seperman/deepdiff) has helped me with testing. I needed to compare two nested data structures but ignore any differences in floats (timestamps). DeepDiff let me do it:

  diff = DeepDiff(
     run_session(config), run_session(config, force=True), exclude_types=(float,)
  )

  assert not diff

I use https://github.com/litl/backoff for configurable backoff + retry

context: OpenAI API used to be super flaky back in the early days, i needed to retry my requests quite frequently and i found this

Happy user of Andrew Moffat's https://sh.readthedocs.io for over a decade.

For audio analysis:

https://librosa.org/

Audio track seperation:

https://github.com/adefossez/demucs

demucs works pretty well.

Defopt generates cli from function interface: https://defopt.readthedocs.io/en/stable/features.html

The alternative is either you maintain two interfaces with boilerplate, or write a cli only if that’s the first priority.

Similar solutions exist, like fire. But fire’s cli is like an afterthought, in the sense it gives people a way to run things in command line where they already know how to run it from Python.

Opensoundscape for sound localization

https://opensoundscape.org/en/latest/

This has been an absolute game changer: https://github.com/pytries/marisa-trie (succinct trie with fast lookup and minimal RAM) Use case and more details in the wonderful book by Ian and Micha: High Performance Python

Exporting datasets - Tablib: https://tablib.readthedocs.io/en/stable/

boltons: https://boltons.readthedocs.io/en/latest/

pg8000 [1] is a Postgres library implemented in pure Python. I've spent enough time trying to get psycopg installed on MacOS and Docker that I appreciate just being able to pip install it at any time.

[1] https://github.com/tlocke/pg8000

genson for creating JSON schemaa

- rich

- einops

- pytrees

- torchinfo

- joblib

- symbex

- nbdev