@@ -18,7 +18,7 @@ The two examples below may help you get started if you `have Docker installed <h
**Example 2:** This command pulls the ``jupyter/datascience-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. The server logs appear in the terminal. Visiting ``http://<hostname>:10000/?token=<token>`` in a browser loads JupyterLab, where ``hostname`` is the name of the computer running docker and ``token`` is the secret token printed in the console. 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 -e JUPYTER_LAB_ENABLE=yes -v "$PWD":/home/jovyan/work jupyter/datascience-notebook:e5c5a7d3e52d
docker run --rm -p 10000:8888 -e JUPYTER_ENABLE_LAB=yes -v "$PWD":/home/jovyan/work jupyter/datascience-notebook:e5c5a7d3e52d
