Haven't tried Rye but I have used uv (which Rye uses to replace pip). Pip install time went down from 58s to 7s. Yes really. Python is fucking slow!

[–] NostraDavid@programming.dev 2 points 4 months ago

I tried it a little - being able to run rye sync and not even having to worry about Python versioning is sooooo nice.

[–] anzo@programming.dev 1 points 4 months ago

Check "uv". Builds on top, is coming good.

[–] richieadler@lemmy.myserv.one 6 points 4 months ago (1 children)

... except for the part where the dependency definition doesn't follow the latest approved PEP, and the default constraint with ^ add an upper limit that causes problems.

I moved to PDM.

[–] sugar_in_your_tea@sh.itjust.works 5 points 4 months ago (1 children)

Eh, by the time I get everyone on board and convert all of our repos, poetry will probably have support for the latest PEP.

[–] richieadler@lemmy.myserv.one 2 points 4 months ago (1 children)

Given the glacial pace I've been seeing, I would't be so sure... But understandable if you have many repos and need to reach consensus.

You can reduce some impacts adding explicit >= constraints instead of ^.

[–] sugar_in_your_tea@sh.itjust.works 2 points 4 months ago

The thing is, things are working reasonably well right now, so updating to be in sync with the latest PEP isn't super impactful, whereas switching from requirements.txt -> poetry and pyproject.toml was a big change. So we'll probably switch eventually, but since we have over a dozen repos and several teams across timezones, it isn't a priority.

I'll certainly take a look though.

[–] SandbagTiara2816@lemmy.dbzer0.com 4 points 4 months ago* (last edited 4 months ago) (1 children)

Wait, what’s wrong with pip?

(Disclaimer: I grade my Python proficiency slightly above beginner. I used it for some research in college and grad school, and I’ve made a few helpful scripts at work, but I am not anything approaching an expert)

[–] sugar_in_your_tea@sh.itjust.works 13 points 4 months ago (1 children)

It does its job well, but it doesn't do much more than that.

The main workflow w/ Pip is:

install whatever you need to get your app working
pip freeze > requirements.txt so the next person can just pip install -r requirements.txt instead of figuring out the requirements
either edit requirements.txt manually to do updates, or pip freeze again later

There are some issues with this:

dependencies that are no longer needed tend to stick around since they're in the requirements.txt
updating dependencies is a manual process and pretty annoying, especially when different packages have different dependencies
requirements.txt doesn't have any structure, so to do something like separating dev vs prod dependencies, you need two (or more) requirements.txt files

It's totally fine for one-off scripts and whatnot, but it gets pretty annoying when working across multiple repositories on a larger project (i.e. what I do at work with microservices).

Poetry improves this in a few ways:

poetry.lock - similar to requirements.txt, in that it locks all dependencies to specific versions
pyproject.toml - lists only your direct dependencies and certain exceptions (i.e. if you want to force a specific dependency version)
package groups - we tend to have local (linters and whatnot), test (deps for unit tests), and the default group (prod deps), so you can install only what you need (e.g. our CI uses test, prod uses no groups, and local uses everything)

There's a simple command to update all dependencies, and another command to try to add a dependency with minimal impact. It makes doing package updates a lot nicer, and I can easily compare direct dependencies between repositories since there's minimal noise in the pyproject.toml (great when doing bulk updates of some critical dependency).

TL;DR - pip is fine for small projects, alternatives are nice when dealing with large, complex projects because it gives you nicer control over dependencies.

[–] SandbagTiara2816@lemmy.dbzer0.com 5 points 4 months ago

Good to know, thank you for educating me!