Delegator.py VS sh

Huh? That's only true if you don't use any libraries, right?

What if you want to use something like delegator[0] to make running shell commands less toilsome?

[0] https://github.com/amitt001/delegator.py

I usually replace shell scripts with python (using sh module: https://amoffat.github.io/sh/ for calling other scripts/programs).

> sh relies on various Unix system calls and only works on Unix-like operating systems - Linux, macOS, BSDs etc. Specifically, Windows is not supported.

from: https://amoffat.github.io/sh/

You can even run interpreted languages as a shell. See plumbum or sh for ways to make it a more comfortable shell and ipython for a better version of the shell.

100% agree. There are some libraries like https://amoffat.github.io/sh/ that aim to make that easier, but they always have some quirks that, funnily enough, are often the corner cases you were hitting in your complicated Bash script in the first place.

Another way to make Python scripts nicer is to use https://github.com/amoffat/sh

pdbpp: Improved pdb boltons: assorted python addtions twisted: event driven networking framework sorcery: Dark magic in python, things know where+how they are being called, helps reducing boilerplate sh: Better alternative for subprocess module, much more pythonic taskipy: npm run scipt_name like functionality snoop: pdb lite, record+replay function steps birdseye: graphical debugger remote-pdb: easy pdb from inside containers typer: wrapper around click for simpler code for CLIs arrow: Always TZ aware datetimes, plus more features more-itertools: more functions for iterators pydantic: data validation + dataclasses loguru: better logging notifiers: sending notifications from python

Sh sh and outside python, watch watch