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I think it is a great idea, but doesn't apply to 99% of my notebooks because they need to run up to 2 hours to completely execute once, due to data intensive ta
by Helmut10001 3y ago
I think it is a great idea, but doesn't apply to 99% of my notebooks because they need to run up to 2 hours to completely execute once, due to data intensive tasks. I usually run all cells once per day, up to cell x (where I left the day before), then continue working by adding cells and updating the state manually until I make progress (=no errors or output is as expected) and move on to the next cell - without re-executing other cells because this would be a productivity nightmare.
- RobinL 3y agoMany reactivity frameworks (e.g. observablehq, shiny) recompute intelligently - they're aware of what parts of the calculation has changed and needs recomputing. Haven't checked with ipyflow, but this idea would help mitigate some of your concerns