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A comment on Why Jupyter is data scientists’ computational notebook of choice. Parent comment

Re:Why Jupyter is data scientists’ computational notebook of... by kristjansson on Tuesday October 30, 2018 @09:06PM (#18342599)
This has been my solution as well. There’s little that feels as good as running `make -B report` and watching the whole thing be rebuilt from scratch.

How do you manage encapsulating each step, and passing data between them?

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Re:Why Jupyter is data scientists’ computational notebook of... by ISL on Thursday November 08, 2018 @11:46AM (#18407595)
I don't do it well. See

https://github.com/4kbt/ReplicableAnalysis

and

https://github.com/4kbt/PlateWash

as examples. The former is smaller/less complicated. The latter was my thesis work -- more complicated and (unfortunately) abuses recursive calls to Make.

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Re:Why Jupyter is data scientists’ computational notebook of... by canhascodez on Wednesday October 31, 2018 @01:23AM (#18343534)
Would that be easier with rake than with make?
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