On Thu, 14 Sep 2017 10:42:06 -0500
"Edward K. Ream" <[email protected]> wrote:

> ​I'm always a big fan of this kind of rapid prototyping.  I know from
> writing the jupyter importer that jupyter notebooks are just json
> files. So the first question that comes to mind is whether using the
> jupyter api is really easier than writing json "by hand".  Having
> said that, perhaps you are thinking that using the jupyter api in the
> prototype is an essential part of the prototype.

Right - my thought is that we want to be able to execute any Jupyter
cell, be it in Python or javascript or R or Go or whatever.  And making
that happen, from software installation to invocation to exposing
variables across environments, should be Jupyter's problem, not ours.

In that context, I don't see that Leo needs to parse notebook JSON.  It
needs to make Jupyter read and manipulate notebooks, and having done
that, I'm sure it can get/set the source part of cells and get/display
the result part of cells.

Cheers -Terry

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