Jupyter Docker Stacks are a set of ready-to-run Docker images containing Jupyter applications and interactive computing tools.
The two examples below may help you get started if you have Docker installed know which Docker image you want to use, and want to launch a single Jupyter Notebook server in a container.
The User Guide on ReadTheDocs describes additional uses and features in detail.
Example 1: This command pulls the jupyter/scipy-notebook image tagged 2c80cf3537ca from Docker Hub if it is not already present on the local host. It then starts a container running a Jupyter Notebook server and exposes the server on host port 8888. The server logs appear in the terminal and include a URL to the notebook server. The container remains intact for restart after notebook server exit.
docker run -p 8888:8888 jupyter/scipy-notebook:2c80cf3537ca
Example 2: This command pulls the jupyter/r-notebook image tagged e5c5a7d3e52d from Docker Hub if it is not already present on the local host. It then starts an ephemeral container running a Jupyter Notebook server and exposes the server on host port 10000. The command mounts the current working directory on the host as /home/jovyan/work in the container. Docker destroys the container after notebook server exit, but any files written to ~/work in the container remain intact on the host.
docker run --rm -p 10000:8888 -v "$PWD":/home/jovyan/work jupyter/r-notebook:e5c5a7d3e52d
Please see the Contributor Guide on ReadTheDocs for information about how to contribute package updates, recipes, features, tests, and community maintained stacks.