Thanks for sharing this Titus :-) It's a straightforward Jupyter notebook
deployment, and I think others will find value trying out. I've opened a PR on
the JupyterHub doc page, "Gallery of Interesting JupyterHub Deployments", since
I think others may find it a handy stepping stone toward JupyterHub. I've
@-mentioned you on the PR for your approval.
Thanks for creating and sharing helpful education resources.
> On Aug 8, 2017, at 5:32 PM, C. Titus Brown <ctbr...@ucdavis.edu> wrote:
> Hi all,
> I put this together for a tutorial last week, and I have to say it went
> amazingly smoothly:
> * I started a big Amazon machine;
> * I installed Docker and built a custom image containing my software of
> * I ran multiple containers, one connected to port 8000, one on 8001, etc.
> and gave each student a different port;
> * students could connect in and use the Terminal program in Jupyter to
> execute commands, and could upload/download files via the Jupyter console
> * in theory I could have used notebooks too, but for this I didn’t have need.
> I am aware that JupyterHub can probably do all of this including manage the
> containers, but I’m still a bit shy of diving into that; this was fairly
> straightforward, gave me disposable containers that were isolated for each
> individual student, and worked almost flawlessly. Should be easy to do with
> RStudio too.
> Other write-ups to do similar things with your favorite setup would be great!
> p.s. the actual tutorial that students ran was here:
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