This is cute :)
Slide from : AWS re:Invent 2022 - Revitalize your security with the AWS Security Reference Architecture (SEC203)
www.youtube.com/watch?v=uFrj...
Adrian Marius Popa
@mapopa.bsky.social
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Game developer Linkedin www.linkedin.com/in/mariuz Blog : mapopa.blogspot.com Threads : www.threads.net/@popa_adrian_marius Mastodon : mastodon.social/@mariuz
![- uv is aware of your dependencies, you can add/remove development dependencies, create group of development dependencies (test, lint, dev, etc) and add or remove those and only those at will. You can add dependencies and optional dependencies for a project as well, think my_app[cli,standard]. You don't need to have different requirements.txt for each case nor do you need to remove things by hand as you'd do in pip, since it doesn't remove deps when you remove a package for example. As a result, you can remove {conda,poetry,...} from your workflows.
- uv can install python and a virtualenv for you. Any command you run with `uv run` from the root of a repo will be aware of its environment, you don't even need to activate a virtualenv anymore. This replaces {pyenv, pyenv-virtualenv, virtualenvwrapper,...}.
- uv follows the PEPs for project config (dependencies, optional dependencies, tool configs) in the pyproject.toml so in case uv dies, it's possible to migrate away for the features are defined in the PEPs. Which is not the case for say, poetry.
- uv has a lock file and it's possible to make deps platform specific (Windows, Linux, MacOS, etc). This is in compliance with a PEP but not supported by all tools.
- uv supports custom indexes for packages so you can prefer a certain index, for example your company package index or pytorch's own index (for ML work).
- very fast, makes local dev very seamless and is really helpful in CI/CD where you might just setup and tear down python envs a lot.](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:quiratstqs5dkfmulyg2eare/bafkreifsne4y5kaheg4y447khm5yddqaemmk5izeieinuznlyzwkbvpype)
