Feature request: per cell cacheing for python cells

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

Start with the documentation statement about Jupyter cache invalidation, then investigate the referenced jupyter-cache and ipycache projects to determine where this behavior is implemented or limited. Done means adding or modifying one Python cell invalidates only that cell's cache instead of re-executing all code cells.