[IPython-dev] Options for cloud-based Jupyterhub for Python training?

Wed Apr 22 22:21:09 EDT 2015

These Dockerfiles might be useful:
* https://registry.hub.docker.com/u/ipython/scipyserver/
* https://registry.hub.docker.com/repos/jupyter/

On Wed, Apr 22, 2015 at 5:27 PM, Matthias Bussonnier <
bussonniermatthias at gmail.com> wrote:

> If you plan on using anaconda, I would directly ask continuum for
> temporary wakari accounts.
>
> You can also build a docker image with your requirement, and if users
> have a github account it is pretty easy (apparently) to configure
> jupyterhub with OAuthtenticator plugin with github. Then you "just"
> need the users github handle. We have that privately  hosted on
> Rackspace OnMetal servers, but I guess Amazon/Azure or alike is not
> harder.
>
> This is also what Oliver Grisel have used for SciKit Learn Tutorials
> (but with no logins) during conferences.
>
> I think also one of the question is how much resources do you plan to
> use, are you searching for a "Sponsor" do provide the resources (and
> eventually fidelize users) , or do you actually have fund to  fiance
> the server(s) for a week.
>
> --
> M
>
> On Wed, Apr 22, 2015 at 3:09 PM, Signell, Richard <rsignell at usgs.gov>
> wrote:
> > IPython Folks,
> > I hope this discussion about https://cloud.sagemath.com hasn't
> > discouraged discussion of other potential solutions.
> >
> > Do folks have experience with digitalocean, cloud9 or other cloud
> > provisioning that could support Jupyterhub with Anaconda?
> >
> > -Rich
> >
> > On Wed, Apr 22, 2015 at 6:01 PM, Signell, Richard <rsignell at usgs.gov>
> wrote:
> >> It's a technical question.  Everything is completely free and there
> >> are no license restrictions.
> >>
> >> On Wed, Apr 22, 2015 at 5:47 PM, William Stein <wstein at gmail.com>
> wrote:
> >>> On Wed, Apr 22, 2015 at 2:42 PM, Signell, Richard <rsignell at usgs.gov>
> wrote:
> >>>> We would be fine with Python 2 and Jupyter in
> >>>> https://cloud.sagemath.com would be fine if those packages were
> >>>> installed for all projects.
> >>>>
> >>>> But some of those packages are tough to build, and getting the right
> >>>> versions that all play nice together is tricky.   That's why we have
> >>>> our conda channel.   We have put a lot of effort into that.    Do you
> >>>> have the ability to install from the binstar.org/ioos channel?
> >>>
> >>> I don't know.   Is this a legal or technical question?  Is it
> >>> completely free?  Are there license restrictions?
> >>>
> >>> William
> >>>
> >>>>
> >>>> We don't need heavy duty computational facilities.   This is mostly
> >>>> about accessing and visualizing met/ocean data.
> >>>>
> >>>> On Wed, Apr 22, 2015 at 5:20 PM, William Stein <wstein at gmail.com>
> wrote:
> >>>>> On Wed, Apr 22, 2015 at 2:14 PM, Signell, Richard <rsignell at usgs.gov>
> wrote:
> >>>>>> William,
> >>>>>>
> >>>>>> I mean a python environment with these packages installed from our
> >>>>>> binstar channel (http://conda.binstar.org):
> >>>>>>
> >>>>>> iris
> >>>>>> mpld3
> >>>>>> pyoos
> >>>>>> pandas
> >>>>>> folium
> >>>>>> rdflib
> >>>>>> geojson
> >>>>>> requests
> >>>>>> ipython-notebook
> >>>>>> xlrd
> >>>>>> mplleaflet
> >>>>>> oceans
> >>>>>> qrcode
> >>>>>> utilities
> >>>>>
> >>>>> Does Python 2 versus Python 3 matter?
> >>>>>
> >>>>> Also, if you've tried Jupyter in https://cloud.sagemath.com, would
> it
> >>>>> be sufficient to meet your needs if it had the above packages
> >>>>> installed for all projects?
> >>>>>
> >>>>> Also, how powerful of computing facilities would be required?
> >>>>>
> >>>>>>
> >>>>>> 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
> >>>>>>>>
> https://developer.rackspace.com/blog/deploying-jupyterhub-for-education/
> >>>>>>>> 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
> >>>>>>>> env?
> >>>>>>>
> >>>>>>> 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
> >>>>>>>
> >>>>>>>>
> >>>>>>>> Thanks,
> >>>>>>>> Rich
> >>>>>>>>
> >>>>>>>> --
> >>>>>>>> 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
> >>>>>>>> http://mail.scipy.org/mailman/listinfo/ipython-dev
> >>>>>>>
> >>>>>>>
> >>>>>>>
> >>>>>>> --
> >>>>>>> William (http://wstein.org)
> >>>>>>> _______________________________________________
> >>>>>>> IPython-dev mailing list
> >>>>>>> IPython-dev at scipy.org
> >>>>>>> http://mail.scipy.org/mailman/listinfo/ipython-dev
> >>>>>>
> >>>>>>
> >>>>>>
> >>>>>> --
> >>>>>> 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
> >>>>>> http://mail.scipy.org/mailman/listinfo/ipython-dev
> >>>>>
> >>>>>
> >>>>>
> >>>>> --
> >>>>> William (http://wstein.org)
> >>>>> _______________________________________________
> >>>>> IPython-dev mailing list
> >>>>> IPython-dev at scipy.org
> >>>>> http://mail.scipy.org/mailman/listinfo/ipython-dev
> >>>>
> >>>>
> >>>>
> >>>> --
> >>>> 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
> >>>> http://mail.scipy.org/mailman/listinfo/ipython-dev
> >>>
> >>>
> >>>
> >>> --
> >>> William (http://wstein.org)
> >>> _______________________________________________
> >>> IPython-dev mailing list
> >>> IPython-dev at scipy.org
> >>> http://mail.scipy.org/mailman/listinfo/ipython-dev
> >>
> >>
> >>
> >> --
> >> Dr. Richard P. Signell   (508) 457-2229
> >> USGS, 384 Woods Hole Rd.
> >> Woods Hole, MA 02543-1598
> >
> >
> >
> > --
> > 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
> > http://mail.scipy.org/mailman/listinfo/ipython-dev
> _______________________________________________
> IPython-dev mailing list
> IPython-dev at scipy.org
> http://mail.scipy.org/mailman/listinfo/ipython-dev
>

-- 
Wes Turner
https://westurner.org
https://wrdrd.com/docs/consulting/knowledge-engineering
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