[IPython-dev] Options for cloud-based Jupyterhub for Python training?
rsignell at usgs.gov
Wed Apr 22 17:14:34 EDT 2015
I mean a python environment with these packages installed from our
binstar channel (http://conda.binstar.org):
On Wed, Apr 22, 2015 at 5:09 PM, William Stein <wstein at gmail.com> wrote:
> On Wed, Apr 22, 2015 at 2:06 PM, Signell, Richard <rsignell at usgs.gov> wrote:
>> Jupyterhub folks,
>> We are looking for solutions for one week of Python training for about
>> 50 met-ocean students at the NSF-funded Unidata Program Center in
>> Boulder (in June). And we are thinking Jupyterhub on the cloud.
>> We know that Software Carpentry favors students to install on their
>> own laptops, but we are leaning toward a cloud solution to demonstrate
>> the advantages of computing close to large met-ocean datasets. And we
>> could also set up a common environment with packages used in the
>> met-ocean community (e.g. http://conda.binstar.org/ioos).
>> We read this article
>> which is similar to what we would like to set up, but the setup
>> sounded rather harrowing.
>> Are there other solutions that would take less setup, yet allow us a
>> multi-user notebook login with cloud resources with a shared custom
> Could you elaborate on what you mean by "a shared custom environment".
> https://cloud.sagemath.com, which I run, is zero setup, and can easily
> handle the load of 50 people (we often have 600-700 simultaneous
> users). However, there's no notion of shared custom environment, so
> it might not work at all for you.
> -- William
>> Dr. Richard P. Signell (508) 457-2229
>> USGS, 384 Woods Hole Rd.
>> Woods Hole, MA 02543-1598
>> IPython-dev mailing list
>> IPython-dev at scipy.org
> William (http://wstein.org)
> IPython-dev mailing list
> IPython-dev at scipy.org
Dr. Richard P. Signell (508) 457-2229
USGS, 384 Woods Hole Rd.
Woods Hole, MA 02543-1598
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