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Update tags in documentation

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Ayaz Salikhov
2021-05-22 16:55:58 +03:00
parent 33add21fab
commit 7bf833c183
9 changed files with 30 additions and 30 deletions
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12
README.md
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@@ -44,7 +44,7 @@ This change is tracked in the issue [#1217](https://github.com/jupyter/docker-st
You can try a
[relatively recent build of the jupyter/base-notebook image on mybinder.org](https://mybinder.org/v2/gh/jupyter/docker-stacks/master?filepath=README.ipynb)
by simply clicking the preceding link. The image used in binder was last updated on 19 Jan 2021.
by simply clicking the preceding link. The image used in binder was last updated on 22 May 2021.
Otherwise, the two 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
@@ -53,7 +53,7 @@ want to use, and want to launch a single Jupyter Notebook server in a container.
The [User Guide on ReadTheDocs](https://jupyter-docker-stacks.readthedocs.io/) describes additional
uses and features in detail.
**Example 1:** This command pulls the `jupyter/scipy-notebook` image tagged `17aba6048f44` from
**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. The server logs appear in the
terminal. Visiting `http://<hostname>:8888/?token=<token>` in a browser loads the Jupyter Notebook
@@ -61,16 +61,16 @@ dashboard page, where `hostname` is the name of the computer running docker and
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
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 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
docker run -p 10000:8888 jupyter/scipy-notebook:33add21fab64
**Example 3:** This command pulls the `jupyter/datascience-notebook` image tagged `9b06df75e445`
**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. The command
mounts the current working directory on the host as `/home/jovyan/work` in the container. The server
@@ -79,7 +79,7 @@ JupyterLab, where `hostname` is the name of the computer running docker and `tok
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 "$PWD":/home/jovyan/work jupyter/datascience-notebook:9b06df75e445
docker run --rm -p 10000:8888 -e JUPYTER_ENABLE_LAB=yes -v "$PWD":/home/jovyan/work jupyter/datascience-notebook:33add21fab64
## Contributing

4
binder/Dockerfile
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@@ -2,11 +2,11 @@
# Distributed under the terms of the Modified BSD License.
# https://hub.docker.com/r/jupyter/base-notebook/tags
ARG BASE_CONTAINER=jupyter/base-notebook:aec555e49be6
ARG BASE_CONTAINER=jupyter/base-notebook:33add21fab64
FROM $BASE_CONTAINER
LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
ENV TAG="aec555e49be6"
ENV TAG="33add21fab64"
WORKDIR $HOME
COPY binder/README.ipynb .

10
docs/index.rst
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@@ -14,17 +14,17 @@ You can try a `recent build of the jupyter/base-notebook image on mybinder.org <
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.::
**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. 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
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 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
docker run -p 10000:8888 jupyter/scipy-notebook:33add21fab64
**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.::
**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. 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 "$PWD":/home/jovyan/work jupyter/datascience-notebook:9b06df75e445
docker run --rm -p 10000:8888 -e JUPYTER_ENABLE_LAB=yes -v "$PWD":/home/jovyan/work jupyter/datascience-notebook:33add21fab64
Table of Contents
-----------------

12
docs/using/recipes.md
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@@ -30,7 +30,7 @@ Create a new Dockerfile like the one shown below.
```dockerfile
# Start from a core stack version
FROM jupyter/datascience-notebook:9f9e5ca8fe5a
FROM jupyter/datascience-notebook:33add21fab64
# Install in the default python3 environment
RUN pip install 'ggplot==0.6.8'
```
@@ -46,7 +46,7 @@ packages desired. Next, create a new Dockerfile like the one shown below.
```dockerfile
# Start from a core stack version
FROM jupyter/datascience-notebook:9f9e5ca8fe5a
FROM jupyter/datascience-notebook:33add21fab64
# Install from requirements.txt file
COPY --chown=${NB_UID}:${NB_GID} requirements.txt /tmp/
RUN pip install --requirement /tmp/requirements.txt && \
@@ -58,7 +58,7 @@ For conda, the Dockerfile is similar:
```dockerfile
# Start from a core stack version
FROM jupyter/datascience-notebook:9f9e5ca8fe5a
FROM jupyter/datascience-notebook:33add21fab64
# Install from requirements.txt file
COPY --chown=${NB_UID}:${NB_GID} requirements.txt /tmp/
RUN conda install --yes --file /tmp/requirements.txt && \
@@ -312,7 +312,7 @@ To use a specific version of JupyterHub, the version of `jupyterhub` in your ima
version in the Hub itself.
```dockerfile
FROM jupyter/base-notebook:5ded1de07260
FROM jupyter/base-notebook:33add21fab64
RUN pip install jupyterhub==0.8.0b1
```
@@ -478,13 +478,13 @@ convenient to launch the server without a password or token. In this case, you s
For jupyterlab:
```bash
docker run jupyter/base-notebook:6d2a05346196 start.sh jupyter lab --LabApp.token=''
docker run jupyter/base-notebook:33add21fab64 start.sh jupyter lab --LabApp.token=''
```
For jupyter classic:
```bash
docker run jupyter/base-notebook:6d2a05346196 start.sh jupyter notebook --NotebookApp.token=''
docker run jupyter/base-notebook:33add21fab64 start.sh jupyter notebook --NotebookApp.token=''
```
## Enable nbextension spellchecker for markdown (or any other nbextension)

8
docs/using/running.md
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@@ -11,10 +11,10 @@ This section provides details about the second.
You can launch a local Docker container from the Jupyter Docker Stacks using the [Docker command line interface](https://docs.docker.com/engine/reference/commandline/cli/). There are numerous ways to configure containers using the CLI. The following are some common patterns.
**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.
**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. The server logs appear in the terminal and include a URL to the notebook server.
```bash
$ docker run -p 8888:8888 jupyter/scipy-notebook:2c80cf3537ca
$ docker run -p 8888:8888 jupyter/scipy-notebook:33add21fab64
Executing the command: jupyter notebook
[I 15:33:00.567 NotebookApp] Writing notebook server cookie secret to /home/jovyan/.local/share/jupyter/runtime/notebook_cookie_secret
@@ -52,10 +52,10 @@ $ docker rm d67fe77f1a84
d67fe77f1a84
```
**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 a container running a Jupyter Notebook server and exposes the server on host port 10000. The server logs appear in the terminal and include a URL to the notebook server, but with the internal container port (8888) instead of the the correct host port (10000).
**Example 2** This command pulls the `jupyter/r-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 10000. The server logs appear in the terminal and include a URL to the notebook server, but with the internal container port (8888) instead of the the correct host port (10000).
```bash
$ docker run --rm -p 10000:8888 -v "$PWD":/home/jovyan/work jupyter/r-notebook:e5c5a7d3e52d
$ docker run --rm -p 10000:8888 -v "$PWD":/home/jovyan/work jupyter/r-notebook:33add21fab64
Executing the command: jupyter notebook
[I 19:31:09.573 NotebookApp] Writing notebook server cookie secret to /home/jovyan/.local/share/jupyter/runtime/notebook_cookie_secret

8
docs/using/selecting.md
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@@ -184,13 +184,13 @@ The `latest` tag in each Docker Hub repository tracks the master branch `HEAD` r
Every image on Docker Hub also receives a 12-character tag which corresponds with the git commit SHA
that triggered the image build. You can inspect the state of the `jupyter/docker-stacks` repository
for that commit to review the definition of the image (e.g., images with tag 7c45ec67c8e7 were built
for that commit to review the definition of the image (e.g., images with tag `33add21fab64` were built
from
[https://github.com/jupyter/docker-stacks/tree/7c45ec67c8e7](https://github.com/jupyter/docker-stacks/tree/7c45ec67c8e7)).
<https://github.com/jupyter/docker-stacks/tree/33add21fab64>.
You must refer to git-SHA image tags when stability and reproducibility are important in your work.
(e.g. `FROM jupyter/scipy-notebook:7c45ec67c8e7`,
`docker run -it --rm jupyter/scipy-notebook:7c45ec67c8e7`). You should only use `latest` when a
(e.g. `FROM jupyter/scipy-notebook:33add21fab64`,
`docker run -it --rm jupyter/scipy-notebook:33add21fab64`). You should only use `latest` when a
one-off container instance is acceptable (e.g., you want to briefly try a new library in a
notebook).

2
examples/docker-compose/README.md
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@@ -41,7 +41,7 @@ notebook/down.sh
You can customize the docker-stack notebook image to deploy by modifying the `notebook/Dockerfile`. For example, you can build and deploy a `jupyter/all-spark-notebook` by modifying the Dockerfile like so:
```dockerfile
FROM jupyter/all-spark-notebook:55d5ca6be183
FROM jupyter/all-spark-notebook:33add21fab64
...
```

2
examples/docker-compose/notebook/Dockerfile
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@@ -2,7 +2,7 @@
# Distributed under the terms of the Modified BSD License.
# Pick your favorite docker-stacks image
FROM jupyter/minimal-notebook:55d5ca6be183
FROM jupyter/minimal-notebook:33add21fab64
USER root

2
examples/make-deploy/Dockerfile
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@@ -2,7 +2,7 @@
# Distributed under the terms of the Modified BSD License.
# Pick your favorite docker-stacks image
FROM jupyter/minimal-notebook:2d125a7161b5
FROM jupyter/minimal-notebook:33add21fab64
USER root