You can generally persist the results your self to disk though. Especially since a lot of things end up being numpy arrays. So you run 1 script that saves all t

You can generally persist the results your self to disk though. Especially since a lot of things end up being numpy arrays. So you run 1 script that saves all the results, and another that loads it and runs just the part of your workflow you want. Bonus: it's persisted to disk on top of that! I know things get more complicated than that, but I'd say the compelling use case for notebooks isn't the state saving but more the whole package in one place (state persistence,visualization, interactive repl,..)