* Port 8888/tcp will be load balanced by service "minimal-notebook"
* This image will be deployed in deployment config "minimal-notebook" * An image stream will be created as "minimal-notebook:latest" that will track this image > Found Docker image acba6ac (4 days old) from Docker Hub for "jupyter/minimal-notebook:latest" The Docker-formatted images from the Jupyter Project can be deployed to OpenShift using the web console Deploy Image page:Īlternatively you can deploy the jupyter/mininal-notebook image from the command line using the oc new-app command: $ oc new-app jupyter/minimal-notebook:latest jupyter/r-notebook - Base image with support for working with R.jupyter/all-spark-notebook - Builds on pyspark-notebook, adding support for Scala and R.jupyter/pyspark-notebook - Builds on scipy-notebook, adding support for working with Spark and Hadoop clusters.jupyter/datascience-notebook - Builds on scipy-notebook, adding support for Julia and R.jupyter/tensorflow-notebook - Builds on scipy-notebook, adding packages for working with tensorflow.jupyter/scipy-notebook - Builds on minimal-notebook, adding Python packages commonly used in data analysis and visualisation, including numpy, scipy and matplotlib.jupyter/minimal-notebook - Base image with support for working with Python 3.The Jupyter Project provides a number of images with different capabilities and packages pre-installed. The original code for the Jupyter Project images can be found on GitHub, but the images are also hosted on the Docker Hub Registry. In this second post of this series about running Jupyter Notebooks on OpenShift, I am going to detail the steps required in order to run the Jupyter Notebook software on OpenShift. Unfortunately the Jupyter Project images do not run out of the box with the typical default configuration of an OpenShift cluster. The quickest way to run a Jupyter Notebook instance in a containerised environment such as OpenShift, is to use the Docker-formatted images provided by the Jupyter Project developers.
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