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Recommendations demo

A scratch repo for playing out some initial implementations of a recommendation algorithm

This is a uv project.

Quickstart

Notebook quickstart

https://docs.astral.sh/uv/guides/integration/jupyter/#using-jupyter-from-vs-code

We're still working on our development environment so for now, we're using the .venv for our python kernal

Package management & maintenance

To install pre-commit hooks:

uv run pre-commit install

To add a new dependency:

uv add <package name>

To remove a dependency:

uv remove <package name>

Managing uv and Docker

Our docker setup is directly pulled from Astral's GitHub repo demonstrating uv/docker best practices for local development

This is a faily naive implementation so we recommend starting from uv's docker integration documentation as well as their Github repo demonstrating uv/docker best practices.

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