From the documentation site:
> Note that for Jupyter, the cache for a document is invalidated if *any* of the code blocks change. For Knitr, invalidation occurs on a per-cell basis. (emphasis added)

It would be great it adding or modifying 1 python cell only invalidates the cache for that specific cell, rather than re-executing *all* code cells. This would be really nice if you wanted to say add a new plotting cell but don't want to rerun expensive computations in previous cells

I'm not sure if this is a limitation of `jupyter-cache` or if there are plans to support this in the future. Or maybe allow usage or incorporation of a different caching library, e.g. like [ipycache](https://github.com/rossant/ipycache)
2022-06-07T17:18:03Z
ejolly
Future
open
Feature request: per cell cacheing for python cells
https://github.com/quarto-dev/quarto-cli/issues/1092