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On Tue, Jun 28, 2016 at 5:21 AM, Sartaj Singh <singhs...@gmail.com> wrote:
> Another resource https://github.com/jupyter/docker-demo-images. The
> notebooks here are hosted on tmpnb.org. Apparently they serve the notebooks
> via docker containers. We can have an introductory notebook there as well.
>
> On 28 June 2016 at 00:39, Sartaj Singh <singhs...@gmail.com> wrote:
>>
>> I checked there is also a scipy docker image
>> https://github.com/jupyter/docker-stacks/tree/master/scipy-notebook.
>> Apparently it ships with sympy 0.7. We can update that. The main idea was to
>> ship with the minimum packages, so that the size is not much (docker image
>> are generally big). Amit also wrote in his blog post about FOSSASIA
>> conference, that it took a considerate amount of time to setup. Though, I
>> don't really have an idea as to what is the environment at scipy.
Just my own thoughts:
It makes sense for having docker-ized versions of Notebook server.
But, just for SymPy may not be so. It is a pure Python package.
How will folks use it? You are really expecting people to download docker,
fetch the image, then run a shell for trying out SymPy? You can get done with
downloading Anaconda/conda in a far less obtrusive fashion and
irrespective of the
OS.
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Migrating SymPy Live to something similar to the try Jupyter
infrastructure would be a great project. The AppEngine has a lot of
issues that would be solved by using a Docker container. In
particular, it is stateless (each execution starts Python fresh and
runs for at most 60 seconds), meaning we have to fake sessions using
pickling. It is also impossible to install any extension modules,
other than the ones that come with it (which is basically just numpy).
So matplotlib is not possible, for instance.
I'd actually like to discuss this with the Jupyter guys at SciPy. I
also think that other projects from SymPy could benefit from having a
Live Sphinx extension.
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