add uv pip install method

[raybellwaves]

Closes https://github.com/rapidsai/docs/issues/498

See the build at https://deploy-preview-510--docs-rapids-ai.netlify.app/install

Works as expected

Apologies for the linting edits as well

While uv pip offers a ~2-3 x RAPIDS install (4 min 19 s -> 1 min 34 s: https://colab.research.google.com/drive/1d3_gb_4y2Xgvl6xBBdknfwUV8Heq-nzJ) compared to pip it may not be as stable. However, from my experience the astral folks are pretty quick at fixing bugs (e.g. https://github.com/astral-sh/uv/issues/2477). I don't know if the docs here also need to include a section on how to download uv and troubleshoot.

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[bdice]

@raybellwaves I'm really eager to play more with uv on my own system, but I don't think it's stable enough to be used for the default installation of RAPIDS. For the same reasons, we have stuck with conda as our default installation command even when mamba presented a compelling alternative (until conda added the libmamba solver, which is now the best of both worlds -- hopefully pip can borrow some ideas for improved performance from uv). I encourage users to try out uv but I don't think we're ready to make this switch.

I'll close this PR for cleanup -- but feel free to keep using uv and share your findings if you run into any issues with RAPIDS and uv.