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From Stephen Boesch <java...@gmail.com>
Subject Re: [announce] BeakerX supports Scala+Spark in Jupyter
Date Fri, 08 Jun 2018 00:51:44 GMT
Assuming that the spark 2.X kernel (e.g. toree) were chosen for a given
jupyter notebook and there is a  Cell 3 that contains some Spark DataFrame
operations .. Then :


   - what is the relationship  does the %%spark  magic and the toree kernel?
   - how does the %%spark magic get applied to that other Cell 3 ?

thanks!

2018-06-07 16:33 GMT-07:00 spot@draves.org <spot@draves.org>:

> We are pleased to announce release 0.19.0 of BeakerX <http://BeakerX.com>,
> a collection of extensions and kernels for Jupyter and Jupyter Lab.
>
> BeakerX now features Scala+Spark integration including GUI configuration,
> status, progress, interrupt, and interactive tables.
>
> We are very interested in your feedback about what remains to be done.
> You may reach by github and gitter, as documented in the readme:
> https://github.com/twosigma/beakerx
>
> Thanks, -Scott
>
> [image: spark.png]
> ‚Äč
>
> --
> BeakerX.com
> ScottDraves.com <http://www.ScottDraves.com>
> @Scott_Draves <http://twitter.com/scott_draves>
>
>

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