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Align examples in both docs (review)

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romainx
2022-01-20 23:23:54 +01:00
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4
README.md
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@@ -16,7 +16,7 @@ by simply clicking the preceding link.
The image used in binder was last updated on 22 May 2021.
Otherwise, three examples below may help you get started if you [have Docker installed](https://docs.docker.com/install/),
know [which Docker image](https://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.
and want to launch a single Jupyter Server in a container.
The [User Guide on ReadTheDocs](https://jupyter-docker-stacks.readthedocs.io/) describes additional uses and features in detail.
@@ -25,7 +25,7 @@ It then starts a container running a Jupyter Server and exposes the server on ho
The server logs appear in the terminal.
Visiting `http://<hostname>:8888/?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.
The container remains intact for restart after the notebook server exits.
The container remains intact for restart after the Jupyter Server exits.
```bash
docker run -p 8888:8888 jupyter/scipy-notebook:33add21fab64

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docs/index.rst
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@@ -15,32 +15,32 @@ You can try a `relatively recent build of the jupyter/base-notebook image on myb
by simply clicking the preceding link.
Otherwise, three 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.
and want to launch a single Jupyter 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 ``33add21fab64`` 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.
It then starts a container running a Jupyter 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,
Visiting ``http://<hostname>:8888/?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.
The container remains intact for restart after the notebook server exits.::
The container remains intact for restart after the Jupyter Server exits.::
docker run -p 8888:8888 jupyter/scipy-notebook:33add21fab64
**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 Jupyter Notebook server,
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:33add21fab64
**Example 3:** This command pulls the ``jupyter/datascience-notebook`` image tagged ``33add21fab64`` 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.
It then starts an *ephemeral* container running a Jupyter 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/lab?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 destroys the container after Jupyter Server exit, but any files written to ``~/work`` in the container remain intact on the host.::
docker run --rm -p 10000:8888 -v "${PWD}":/home/jovyan/work jupyter/datascience-notebook:33add21fab64