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

[Signell, Richard]

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