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59 lines
3.0 KiB
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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 do any of the following (and more):
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* Start a personal Jupyter Notebook server in a local Docker container
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* Run JupyterLab servers for a team using JupyterHub
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* Write your own project Dockerfile
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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/selecting>` 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. 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.::
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docker run -p 8888:8888 jupyter/scipy-notebook:2c80cf3537ca
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**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.::
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docker run --rm -p 10000:8888 -e JUPYTER_LAB_ENABLE=yes -v "$PWD":/home/jovyan/work jupyter/datascience-notebook:e5c5a7d3e52d
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Table of Contents
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-----------------
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.. toctree::
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:maxdepth: 2
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:caption: User Guide
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using/selecting
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using/running
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using/common
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using/specifics
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using/recipes
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.. toctree::
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:maxdepth: 2
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:caption: Contributor Guide
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contributing/packages
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contributing/recipes
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contributing/tests
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contributing/features
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contributing/stacks
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.. toctree::
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:maxdepth: 2
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:caption: Maintainer Guide
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maintaining/tasks
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.. toctree::
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:maxdepth: 2
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:caption: Getting Help
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Jupyter Docker Stacks Issue Tracker <https://github.com/jupyter/docker-stacks>
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Jupyter Google Group <https://groups.google.com/forum/#!forum/jupyter>
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Jupyter Website <https://jupyter.org>
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