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ML Project

Dependencies

Use uv to handle virtual environment. Install with python -m pip install uv or whatever you want idk look it up

uv venv to create venv, then activate with the recommended command.

uv pip install --group dev to install dependencies from pyprokect.toml

Typst

We're writing in Typst. The future is now, old man.

Install Typst, however it's done on your OS.

Compile with typst compile path/to/main.typ, which generates a same-named pdf in the same dir.

Tinymist for VSCode is used to generate a live preview in your browser. It should just work. It also provides language server stuff like autocorrect and warnings. Also available on other IDEs or text editors, or you can just constantly recompile I guess.

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