jupyter-notebook-py36

This is a container image intended to make it easy to run Jupyter notebooks/jupyterlab with Apache Spark on OpenShift. You can use it as-is (by adding it to a project), or you can use it as the basis for another image. In the latter case, you'll probably want to add some notebooks, data, and/or additional packages to the derived image. The Image uses python python 3.6

Usage

As a standalone image

For your convenience, binary image builds are available from Docker Hub.

• Add the image elmiko/jupyter-notebook-py36 to an OpenShift project.
• Set JUPYTER_NOTEBOOK_PASSWORD in the pod environment to something you can remember (this step is optional but highly recommended; if you don't do this, you'll need to trawl the logs for an access token for your new notebook).
• Set JUPYTERLAB to true in the pod environment to use jupyterlab UI.
• Create a route to the pod.

deploy on openshift

oc new-app elmiko/jupyter-notebook-py36 -e  JUPYTER_NOTEBOOK_PASSWORD=developer -e JUPYTERLAB=false

As a base image

• As nbuser (uid 1011), add notebooks to /notebooks and data to /data.
• This process should be easier in the future; stay tuned!

Notes

Make sure that this notebook image is running the same version of Spark as the external cluster you want to connect it to.

Credits

This image was initially based on Subin Modeel's image and Graham Dumpleton's images, which have some additional functionality (notably s2i support) that we'd like to incorporate in the future.