[Python] Polars: return dataframe with all unique values of N columns

I have a dataframe that has many rows per combination of the 'PROGRAM', 'VERSION', and 'RELEASE_DATE' columns. I want to get a dataframe with all of the combinations of just those three columns.

Would this be a job for groupby or distinct?

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