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Dockerfile for the c2s toolbox with IPython support.

The image is available as an automated build on Docker Hub.

If you don't need IPython, consider using c2s-docker instead.

How to use

Please note that you might need to prefix all docker commands with sudo depending on your docker setup.

After installing Docker, get the c2s-ipython Docker image:

docker pull jonasrauber/c2s-ipython

Alternatively, you can build the image yourself, however the build process may take some time.

docker build --rm -t jonasrauber/c2s-ipython

You can than use it similar to the ipython/scipyserver docker image.

docker run -it --rm -p 443:8888 -e "PASSWORD=MakeAPassword" -v "$PWD:/notebooks" jonasrauber/c2s-ipython

You should than be able to reach the IPython notebook at https://hostname. Please change the password. You might choose another port instead of 443. If you don't want to use HTTPS, set the USE_HTTP environment variable -e "USE_HTTP=1".

docker run -it --rm -p 80:8888 -e "PASSWORD=MakeAPassword" -e "USE_HTTP=1" -v "$PWD:/notebooks" jonasrauber/c2s-ipython

To get more information on c2s itself, have a look at the c2s repository and the c2s documentaiton.

c2s visualize workaround

c2s visualize from within a Docker container requires a workaround as described in issue #3.

The following steps work on OS X:

brew install socat
socat TCP-LISTEN:6000,reuseaddr,fork UNIX-CLIENT:\"$DISPLAY\"
# in another window
docker run -it --rm -e DISPLAY= -v $PWD:/data/workdir jonasrauber/c2s visualize data.0.mat

The ip address needs to be replaced with the respective host ip (i.e. the ip of OS X).

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