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Yes, there is a Python wrapper around Quarto CLI that does exactly that. See an example related to your use case: |
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Description
I have set up a univariate study in a notebook. It is parametrised by the name of the variable I want to study. I want to run this study for each of the top k feature of a model that I build in another notebook. Ideally I want to do that in a python for loop (for feature in best_features: produce report). It seems possible to render a notebook via command line, is there a preferred way to do so via Python ? (just run a command line via process / sub process ??)
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