IPython running in a docker container. This image can be used to integrate IPython into Galaxy. A variety of different packages are pre-installed and can be used right away.

This docker container is used by the Galaxy-IPython project and can be installed from the docker.io index.

• Build your own image and run it

Docker is a pre-requirement for this project. You can build the container with:

 docker build -t ipython-notebook . 

The build process can take some time, but if finished you can run your container with:

 docker run -p 7777:6789 -v /home/user/foo/:/import/ -t ipython-notebook

and you will have a running IPython Notebook instance on http://localhost:7777/ipython/.

• Run a pre-build image from docker registry

docker run -p 7777:6789 -v /home/user/foo/:/import/ bgruening/docker-ipython-notebook

Some environment variables are made available to the user which will allow for configuring the behaviour of individual instances.

• Bjoern Gruening
• Eric Rasche

• v0.1: Initial public release
• v0.2: Upgrade IPython to version 2.4
• v0.3: Switch to environment based image configuration. Fix dataset ownership bugs.

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