Thanks for taking a look at this, everyone! I look forward to your feedback
on this prototype.

It would be great to get this (or something like it) into the Jupyter
community as a recommendation so that we can build magics that work in any
Kernel. I have a SQL magic implementation that uses Spark that could be
packaged this way. It is also a good way to implement a set of built-ins
across kernels, like %%timeit.

On Thu, Feb 21, 2019 at 5:23 PM Brian Granger <[email protected]> wrote:

> Great news, thanks for sharing!
>
> On Thu, Feb 21, 2019 at 5:20 PM Kyle Kelley <[email protected]> wrote:
>
>> Hey all,
>>
>> A couple weeks ago a bunch of Scala kernel maintainers came together
>> during the Notebook Enterprise Summit <https://github.com/nteract/nes>.
>> One of the topics of discussion was making consistent magics across the
>> various Scala & JVM kernels. Notes and proposals are here:
>> https://github.com/nteract/nes/tree/master/jvm-kernel-magics
>>
>> Ryan Blue created jvm-magics as a result of this:
>> https://github.com/rdblue/jvm-magics
>>
>> Please check it out if you're interested and post issues. When ready,
>> we'd love to see this land in the jupyter org to support similarly to
>> jvm-repr.
>>
>> --
>> Kyle Kelley (@rgbkrk <https://twitter.com/rgbkrk>; lambdaops.com)
>>
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>
> --
> Brian E. Granger
> Associate Professor of Physics and Data Science
> Cal Poly State University, San Luis Obispo
> @ellisonbg on Twitter and GitHub
> [email protected] and [email protected]
>


-- 
Ryan Blue
Software Engineer
Netflix

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