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27 lines
1.9 KiB
ReStructuredText
Jupyter Docker Stacks
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=====================
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Jupyter Docker Stacks are a set of ready-to-run Docker images containing Jupyter applications and interactive computing tools. You can use a stack image to start a personal Jupyter Notebook server in a local Docker container, to run JupyterLab servers for a team using JupyterHub, to write your own project Dockerfile, and so on.
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**Table of Contents**
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.. toctree::
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:maxdepth: 1
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using
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configuration
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contributing
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Quick Start
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-----------
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The two examples below may help you get started if you `have Docker installed <https://docs.docker.com/install/>`_, know :doc:`which Docker image <using>` 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.
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**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.::
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docker run -p 8888:8888 jupyter/scipy-notebook:2c80cf3537ca
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**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. The container is destroyed after notebook server exit, but any files written to `~/work` in the container remain intact on the host.::
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docker run --rm -p 10000:8888 -v "$PWD":/home/jovyan/work jupyter/r-notebook:e5c5a7d3e52d
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