Jupyter notebook charm with pyspark integration

[Merlijn Sebrechts]

Yes, source code is available. Just click on the 'submit a bug' link to go
to the github repo.

More or less everything I'm working on is agplv3. You can find a lot more
layers and charms in the github organization of our research group:

https://github.com/ibcnservices

It also has a standalone (non-subordinate) jupyter notebook layer if you're
interested.

And yes, by all means use it and spread the word!

Op donderdag 5 januari 2017 heeft Pete Vander Giessen <
pete.vandergiessen at canonical.com> het volgende geschreven:
> Hi Merlijn,
> This is really cool! I was actually going to try to write a Jupyter charm
and use it in a tutorial I'm giving to the New York Python Meetup later
this month.
> Does the source code for this live anywhere? If so, would it be okay if I
used your Jupyter charm in the tutorial? I'd give you credit, of course,
and encourage people to make contributions, if they're interested in
putting the skills from the tutorial to use.
> (If you're not quite ready to share source and solicit contributions,
that's fine, too -- I can use a different charm for the tutorial.)
> Regards,
> ~ PeteVG
> On Wed, Jan 4, 2017 at 9:51 AM Merlijn Sebrechts <
merlijn.sebrechts at gmail.com> wrote:
>>
>> Hi fellow bigdata-ers
>>
>> We're working on a Jupyter notebook Charm with Spark integration.
>> You can preview it here:
https://jujucharms.com/u/tengu-team/jupyter-notebook-spark/1
>> It's a subordinate charm that connects to the Spark charm, similar to
the zeppelin Charm. Feel free to take it on a test drive!
>>
>>
>> Kind regards
>> Merlijn
>> --
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>
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