On Tue, Jun 28, 2016 at 5:21 AM, Sartaj Singh <[email protected]> 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 <[email protected]> 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.



>>
>> On 28 June 2016 at 00:10, Ondřej Čertík <[email protected]> wrote:
>>>
>>> On Mon, Jun 27, 2016 at 12:26 PM, Sartaj Singh <[email protected]>
>>> wrote:
>>> > Hi,
>>> >
>>> > I was playing around with docker. It occurred to me that it will be
>>> > nice to
>>> > have an official sympy docker image. This could be useful in the
>>> > tutorials
>>> > as people are not expected to install anything but just pull the image.
>>> > I
>>> > tried to google and find if there is a sympy image already but I
>>> > couldn't
>>> > find much. Do we want something like this? Let me know if it's a good
>>> > idea.
>>> > I can go ahead and make an image for sympy.
>>>
>>>
>>> I think that's a good idea. I think all we have to have is a
>>> Dockerfile and then setup the docker hub to always automatically
>>> rebuild it when we push to master. And in addition, test the
>>> Dockerfile with each PR on Travis, to make sure it actually builds.
>>>
>>> In the dockerfile, we can have a reasonable minimal installation of
>>> jupyter notebook + libraries like matplotlib, scipy, numpy, etc.,
>>> probably via conda. So that it's ready to be used.
>>>
>>> On the other hand, I think it's pretty simple to install sympy using
>>> conda, so perhaps it's not needed. Either way is fine with me.
>>>
>>> Ondrej
>>>
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>>
>>
>>
>>
>> --
>> Regards
>> Sartaj Singh
>>
>> Mathematics and Computing,
>> Indian Institute of Technology,
>> Varanasi - 221 005 INDIA
>>
>> E-mail: [email protected], [email protected]
>
>
>
>
> --
> Regards
> Sartaj Singh
>
> Mathematics and Computing,
> Indian Institute of Technology,
> Varanasi - 221 005 INDIA
>
> E-mail: [email protected], [email protected]
>
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