This is one I've spent a bunch of time thinking about, and I'm not sure of the right answer.
On the one hand, I understand that you might have models you want to train in research or misshapen outputs that you want access to. On the other hand, I worry that if we head this path we end up in the place where you need to be able to schedule notebooks to run, in order to update your data. There is something about that which worries me.
I also wonder if the problem is that getting code from research to the IDE is a bit of a pain. If we had a code library, where you could "store" your functions written in research, so that they are callable from the IDE, would that make this less of an issue?
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