Does anyone reading Fosstodon use #jupyter #notebooks?
I am mostly an App developer, and missing the missing understanding on the problem they solve.

Is it that datascience doesn't mix with git cleanly?

@channelOwen its a nice way to process data, allows for a few snippets of code to provide a nice looking document showing the end result. also being typically written in python (but not limited to) allows for it to be more readable and easier to audit how the end result was arrived at. its like having a savable graphic command line in flexibility
@channelOwen I think the main selling point is it keeps variables in memory, so you don't need to read a larger CSV every time you make a change while testing, or doing exploratory data analysis