Starting to wonder how many great data science tools I miss out on because I want to be in @ProjectJupyter all the time...https://twitter.com/generativist/status/1139645382177071105 …
Yes, although I usually end up putting <common0> out of the project root. As far as possible, I like to move code out of notebooks and leave it for analysis, so `run -i http://common.py ` is a great tool that I use a lot.
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Got it, thanks. Mainly curious since notebooks in repos frustrate me (the well known issue with source controlling their *huge* json representation), so I typically treat them as ephemeral, sort of `main()`-only code, and even then, just for the ease of plotting stuff.
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I also don't do research-type stuff that frequently, where most of my work is near the "top" of a conceptual hierarchy. I usually exist in the weeds, haha.
End of conversation
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