Single-user notebook server installs bokeh by default and pulls in a default stock visualization
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This is an example of using a custom Jupyter Notebook server Docker image with JupyterHub. The Dockerfile builds from the jupyter/scipy-notebook image, but customizes the image in the following ways:
Build and tag the image using the Dockerfile in this directory.
docker build -t bokeh-notebook .
To have JupyterHub spawn the my-custom-notebook image for single-user Notebook
servers, set the DOCKER_NOTEBOOK_IMAGE environment variable to the image name
when you run the JupyterHub container. For example, run the following
from the root directory of this repository:
export DOCKER_NOTEBOOK_IMAGE=bokeh-notebook
# bring down the JupyterHub container, if running
docker-compose down
# bring it back up
docker-compose up -d
Content type
Image
Digest
Size
1.4 GB
Last updated
over 9 years ago
docker pull davad/bokeh-notebook-server