Jupyter Docker Stacks

Jupyter Docker Stacks是一组Docker镜像包含Jupyter应用程序和交互式计算工具。您可以使用Stack镜像执行以下任何操作

  • 在本地Docker容器中启动个人Jupyter Notebook服务器
  • 使用JupyterHub为团队运行JupyterLab服务器
  • 编写自己的Dockerfile

快速开始

You can try a recent build of the jupyter/base-notebook image on mybinder.org by simply clicking the preceding link. Otherwise, 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 other pages in this documentation describe additional uses and features in detail.

Example 1: This command pulls the jupyter/scipy-notebook image tagged 17aba6048f44 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. Visiting http://<hostname>:8888/?token=<token> in a browser loads the Jupyter Notebook dashboard page, where hostname is the name of the computer running docker and token is the secret token printed in the console. The container remains intact for restart after the notebook server exits.:

docker run -p 8888:8888 jupyter/scipy-notebook:17aba6048f44

Example 2: This command performs the same operations as Example 1, but it exposes the server on host port 10000 instead of port 8888. 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 run -p 10000:8888 jupyter/scipy-notebook:17aba6048f44

Example 3: This command pulls the jupyter/datascience-notebook image tagged 9b06df75e445 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_ENABLE_LAB=yes -v "$PWD":/home/jovyan/work jupyter/datascience-notebook:9b06df75e445