Hey Greg,

At Clemson University, we use JupyterHub
(http://jupyterhub.readthedocs.io/en/latest/) to provide Jupyter
Notebook servers for our workshop attendees. Our JupyterHub setup uses
our university HPC cluster hardware, but it's possible to use other
hardware, such as a beefy workstation, a small lab cluster, cloud
resources etc., Our attendees need no software installed except a web
browser. All they do is log-in to JupyterHub with their university
credentials, and they are presented with a Notebook Server (file
browser, terminal, Jupyter notebooks) running on one of the compute
nodes of our cluster.

I'm happy to discuss our setup in detail, and a small write-up
detailing it is available at
https://github.com/clemsonciti/palmetto-jupyterhub-outline/blob/master/outline.md.

Thanks,
Ashwin

On Wed, Nov 2, 2016 at 8:21 PM, Greg Wilson
<[email protected]> wrote:
> Hi everyone,
>
> Forwarded on behalf of colleagues:
>
>> We are teaching a py3- and git-dependent image processing course that,
>> when implemented, will follow the 2-day SWC course. Given that our lesson
>> plan beta-testers are mostly students who do not have python or git set up
>> on their laptops, what would you do for testing lessons? We tried Cloud9 to
>> set up a cloud-based programming environment, but found it to be unreliable.
>
> Any experience you have with off-laptop environments for a class with lots
> of visualization that uses both the Jupyter Notebook and Git (with GitHub)
> would be very welcome.
>
> Cheers,
>
> Greg
>
>
> --
> Dr Greg Wilson
> Director of Instructor Training
> Software Carpentry Foundation
>
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