[IPython-dev] Options for cloud-based Jupyterhub for Python training?
wstein at gmail.com
Wed Apr 22 17:09:19 EDT 2015
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.
> 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
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