[IPython-dev] Docker IPython
tylere at google.com
Mon Aug 4 17:52:36 EDT 2014
I think having an official base Docker instance will be quite useful,
especially for running workshops.
I added comments for my particular use case below.
On Fri, Aug 1, 2014 at 6:54 PM, Kyle Kelley <rgbkrk at gmail.com> wrote:
> Earlier this week we released an experimental base Docker image for the
> IPython notebook:
> As well as a Docker image for the notebook viewer (which will be used in
> production soon):
> Several folks have reached out about these images, and I'd like to get a
> conversation started amongst those that want to build from a common base.
> There are, after all, a *lot* of ipython images up on Docker already.
> Additionally, there is a LONG thread on the software carpentry mailing list
> There are some open questions from me:
> * Who should the user be inside the container?
> * Should they be able to install more packages?
I don't think the user accessing the instance needs to be able to install
custom packages. (It would be nice this functionality was available, but it
is not critical for running workshops.)
However, administrators need to have the ability to create custom images
based off the docker base image that have additional packages.
> * In a chef cookbook and deployment setup, I just made the user named
> * Is it ok to force HTTPS?
> * If we do, we're stuck with self signed certs or requiring them to
> provide them on run
> * This isn't really the right way to compose applications with Docker
> and probably makes things problematic for anyone building on top of ours
> * Who is our target audience?
> * People deploying notebooks across their organization for users?
> * Students (and their teachers) wanting access to an easy analytics
My interest is in providing an environment for external users of our
analysis API, so it somewhat similar to the latter description. Some are in
academia, but many are not.
* What would you see out of a base image? Where would the value be?
> * Would people like to see a bleeding latest image that you can spin up to
> see the current state of the IPython notebook by just running `docker run
> * Do people want a base image that has a large portion of the scipy stack?
Yes, particularly matplotlib and pandas.
I'll stop with these and see where the discussion takes us.
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