Jupyter datascience notebook, with GPU capabilities
5.1K
jovyan (uid=1000, configurable, see options) in group users (gid=100) with ownership over /home/jovyan and /opt/condasudoThe following command starts a container with the Notebook server listening for HTTP connections on port 8888 without authentication configured.
docker run -d -p 8888:8888 jupyter/datascience-notebook
You can pass Jupyter command line options through the start-notebook.sh command when launching the container. For example, to set the base URL of the notebook server you might do the following:
docker run -d -p 8888:8888 jupyter/datascience-notebook start-notebook.sh --NotebookApp.base_url=/some/path
You can sidestep the start-notebook.sh script entirely by specifying a command other than start-notebook.sh. If you do, the NB_USER and GRANT_SUDO features documented below will not work. See the Docker Options section for details.
You may customize the execution of the Docker container and the Notebook server it contains with the following optional arguments.
-e PASSWORD="YOURPASS" - Configures Jupyter Notebook to require the given password. Should be conbined with USE_HTTPS on untrusted networks.-e USE_HTTPS=yes - Configures Jupyter Notebook to accept encrypted HTTPS connections. If a pem file containing a SSL certificate and key is not found in /home/jovyan/.ipython/profile_default/security/notebook.pem, the container will generate a self-signed certificate for you.-e NB_UID=1000 - Specify the uid of the jovyan user. Useful to mount host volumes with specific file ownership. For this option to take effect, you must run the container with --user root. (The start-notebook.sh script will su jovyan after adjusting the user id.)-e GRANT_SUDO=yes - Gives the jovyan user passwordless sudo capability. Useful for installing OS packages. For this option to take effect, you must run the container with --user root. (The start-notebook.sh script will su jovyan after adding jovyan to sudoers.) You should only enable sudo if you trust the user or if the container is running on an isolated host.-v /some/host/folder/for/work:/home/jovyan/work - Host mounts the default working directory on the host to preserve work even when the container is destroyed and recreated (e.g., during an upgrade).-v /some/host/folder/for/server.pem:/home/jovyan/.local/share/jupyter/notebook.pem - Mounts a SSL certificate plus key for USE_HTTPS. Useful if you have a real certificate for the domain under which you are running the Notebook server.The default Python 3.x Conda environment resides in /opt/conda. A second Python 2.x Conda environment exists in /opt/conda/envs/python2. You can switch to the python2 environment in a shell by entering the following:
source activate python2
You can return to the default environment with this command:
source deactivate
The commands ipython, python, pip, easy_install, and conda (among others) are available in both environments.
Content type
Image
Digest
Size
6.5 GB
Last updated
over 8 years ago
docker pull giffordlab/datascience-notebook