For python it is really great. There is some work in progress in bringing Scala support to Jupyter as well.
https://github.com/hohonuuli/sparknotebook <https://github.com/hohonuuli/sparknotebook> https://github.com/alexarchambault/jupyter-scala <https://github.com/alexarchambault/jupyter-scala> Guru Medasani gdm...@gmail.com > On Aug 18, 2015, at 12:29 PM, Jerry Lam <chiling...@gmail.com> wrote: > > Hi Guru, > > Thanks! Great to hear that someone tried it in production. How do you like it > so far? > > Best Regards, > > Jerry > > > On Tue, Aug 18, 2015 at 11:38 AM, Guru Medasani <gdm...@gmail.com > <mailto:gdm...@gmail.com>> wrote: > Hi Jerry, > > Yes. I’ve seen customers using this in production for data science work. I’m > currently using this for one of my projects on a cluster as well. > > Also, here is a blog that describes how to configure this. > > http://blog.cloudera.com/blog/2014/08/how-to-use-ipython-notebook-with-apache-spark/ > > <http://blog.cloudera.com/blog/2014/08/how-to-use-ipython-notebook-with-apache-spark/> > > > Guru Medasani > gdm...@gmail.com <mailto:gdm...@gmail.com> > > > >> On Aug 18, 2015, at 8:35 AM, Jerry Lam <chiling...@gmail.com >> <mailto:chiling...@gmail.com>> wrote: >> >> Hi spark users and developers, >> >> Did anyone have IPython Notebook (Jupyter) deployed in production that uses >> Spark as the computational engine? >> >> I know Databricks Cloud provides similar features with deeper integration >> with Spark. However, Databricks Cloud has to be hosted by Databricks so we >> cannot do this. >> >> Other solutions (e.g. Zeppelin) seem to reinvent the wheel that IPython has >> already offered years ago. It would be great if someone can educate me the >> reason behind this. >> >> Best Regards, >> >> Jerry > >
