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Add an example binder
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README.md
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README.md
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[](https://groups.google.com/forum/#!forum/jupyter)
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[](https://groups.google.com/forum/#!forum/jupyter)
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[](https://jupyter-docker-stacks.readthedocs.io/en/latest/ "Documentation build status")
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[](https://microbadger.com/images/jupyter/base-notebook "Get your own version badge on microbadger.com")
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[](https://microbadger.com/images/jupyter/base-notebook "Recent tag/version of jupyter/base-notebook")
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[](https://mybinder.org/v2/gh/jupyter/docker-stacks/master "Launch a jupyter/base-notebook container on mybinder.org")
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# Jupyter Docker Stacks
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# Jupyter Docker Stacks
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## Quick Start
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## Quick Start
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The two examples below may help you get started if you [have Docker installed](https://docs.docker.com/install/) know [which Docker image](http://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html) you want to use, and want to launch a single Jupyter Notebook server in a container.
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You can try a [recent build of the jupyter/base-notebook image on mybinder.org](https://mybinder.org/v2/gh/jupyter/docker-stacks/master) by simple clicking the preceding link. Otherwise, the two examples below may help you get started if you [have Docker installed](https://docs.docker.com/install/) know [which Docker image](http://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html) you want to use, and want to launch a single Jupyter Notebook server in a container.
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The [User Guide on ReadTheDocs](http://jupyter-docker-stacks.readthedocs.io/) describes additional uses and features in detail.
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The [User Guide on ReadTheDocs](http://jupyter-docker-stacks.readthedocs.io/) describes 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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**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.
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docker run -p 8888:8888 jupyter/scipy-notebook:2c80cf3537ca
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docker run -p 8888:8888 jupyter/scipy-notebook:17aba6048f44
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**Example 2:** This command pulls the `jupyter/datascience-notebook` image tagged `3772fffc4aa4` 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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**Example 2:** 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.
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docker run --rm -p 10000:8888 -e JUPYTER_ENABLE_LAB=yes -v "$PWD":/home/jovyan/work jupyter/datascience-notebook:3772fffc4aa4
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docker run --rm -p 10000:8888 -e JUPYTER_ENABLE_LAB=yes -v "$PWD":/home/jovyan/work jupyter/datascience-notebook:9b06df75e445
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## Contributing
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## Contributing
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binder/Dockerfile
Normal file
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binder/Dockerfile
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FROM jupyter/base-notebook:17aba6048f44
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@@ -10,15 +10,17 @@ Jupyter Docker Stacks are a set of ready-to-run Docker images containing Jupyter
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Quick Start
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Quick Start
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-----------
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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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You can try a `recent build of the jupyter/base-notebook image on mybinder.org <https://mybinder.org/v2/gh/jupyter/docker-stacks/master>`_ by simply clicking the preceding link. Otherwise, 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.
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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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The other pages in this documentation describe additional uses and features in detail.
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docker run -p 8888:8888 jupyter/scipy-notebook:2c80cf3537ca
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**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.::
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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 -p 8888:8888 jupyter/scipy-notebook:17aba6048f44
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docker run --rm -p 10000:8888 -e JUPYTER_ENABLE_LAB=yes -v "$PWD":/home/jovyan/work jupyter/datascience-notebook:e5c5a7d3e52d
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**Example 2:** This command pulls the ``jupyter/datascience-notebook`` image tagged ``9b06df75e445`` from Docker Hub if it is not already present on the local host. It then starts an *ephemeral* container running a Jupyter Notebook server and exposes the server on host port 10000. The command mounts the current working directory on the host as ``/home/jovyan/work`` in the container. The server logs appear in the terminal. Visiting ``http://<hostname>:10000/?token=<token>`` in a browser loads JupyterLab, where ``hostname`` is the name of the computer running docker and ``token`` is the secret token printed in the console. Docker destroys the container after notebook server exit, but any files written to ``~/work`` in the container remain intact on the host.::
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docker run --rm -p 10000:8888 -e JUPYTER_ENABLE_LAB=yes -v "$PWD":/home/jovyan/work jupyter/datascience-notebook:9b06df75e445
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Table of Contents
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Table of Contents
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-----------------
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-----------------
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