Why Jupyter is data scientists’ computational notebook of choice

Re:Why Jupyter is data scientists’ computational notebook of... by rtpg on Tuesday October 30, 2018 @11:16PM (#18343081)

This isn't true though, right? If you were writing an org mode document about org mode, you now need an escaping mechanism to not mix your structure and text

Multi-language parsing is much harder to solve than simply enforcing some escaping mechanism in the inner protocol level and having tools do the "heavy" lifting (basically a solved problem).

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Re:Why Jupyter is data scientists’ computational notebook of... by taeric on Tuesday October 30, 2018 @11:22PM (#18343105)

Amusingly, no. Folks have done just that.

That said, you can define away a large part of the problem.

Edit: For trivial examples of "org-mode" in an org-mode document, you need only look at the documentation of org-mode. That said, I expect there to be limitations, because they make sense. Similar to how you can pretty print json inside a jupyter notebook, but don't expect to have a notebook interpreted in the notebook. (If that makes sense.)

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