python-language-server VS pyupgrade

I use neovim as a text editor and code a lot in Python with the help of a language server. I use the only language server that seems to live in python-language-server. However, I see that the repo that it points to has been archived. So I am looking for alternatives and I thought that asking the community could be a good starting point.

Ah, in any case you might like to know they do plan to deprecate it in favour of pyright/pylance.

I guess this is an issue not only on my side - https://github.com/microsoft/python-language-server/issues/2108

I followed the advice given by this, but it didn't help..

pyupgrade and flynt are examples of tools that modify your code base from earlier python versions into the newest python syntax, rewriting all string formats into f-strings and similar things.

pyupgrade - A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.

He made yesqa and pyupgrade (among others), and also works on flake8. His main job is for https://sentry.io/.

That's a decade to make a 30 second change. Add something like https://github.com/asottile/pyupgrade to your pre-commit hooks and you won't even need 25 of those seconds.

There is also pyupgrade: https://github.com/asottile/pyupgrade

pyupgrade is a useful tool that can help you find some of these things.

and last a little plug or two -- because I do this all for free and despite millions benefiting I receive zero proportional benefit from the maintenance work I put in -- consider sponsoring or maybe check out pre-commit.ci which would have automatically fixed this problem for you a year and a half ago

Running https://github.com/adamchainz/django-upgrade with https://github.com/asottile/pyupgrade recursively will give an idea about how much work is there on Django side. Still, there may have dependency on third party libraries (both django+python). Another thing to consider is which role Django performing here, serving APIs or html views. As good test coverage is already there, you are on lucky side.

Such goodness here and even points to an interesting project I’d never heard of for automated “de-deprecation”

https://github.com/asottile/pyupgrade

I do would like to recommend pyupgrade. Just pip install as expected and then run pyupgrade --py310-plus to drag your code kicking and screaming into $CURRENT_YEAR. Or at least into whatever version you're using :)