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

[William Stein]

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)