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README.md

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@@ -26,11 +26,11 @@ The [User Guide on ReadTheDocs](https://jupyter-docker-stacks.readthedocs.io/en/
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### Example 1
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This command pulls the `jupyter/scipy-notebook` image tagged `2023-08-19` from Docker Hub if it is not already present on the local host.
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This command pulls the `jupyter/scipy-notebook` image tagged `2023-09-25` from Docker Hub if it is not already present on the local host.
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It then starts a container running a Jupyter Server with the JupyterLab frontend and exposes the container's internal port `8888` to port `10000` of the host machine:
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```bash
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docker run -p 10000:8888 jupyter/scipy-notebook:2023-08-19
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docker run -p 10000:8888 jupyter/scipy-notebook:2023-09-25
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```
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You can modify the port on which the container's port is exposed by [changing the value of the `-p` option](https://docs.docker.com/engine/reference/run/#expose-incoming-ports) to `-p 8888:8888`.
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### Example 2
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This command pulls the `jupyter/datascience-notebook` image tagged `2023-08-19` from Docker Hub if it is not already present on the local host.
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This command pulls the `jupyter/datascience-notebook` image tagged `2023-09-25` from Docker Hub if it is not already present on the local host.
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It then starts an _ephemeral_ container running a Jupyter Server with the JupyterLab frontend and exposes the server on host port 10000.
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```bash
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docker run -it --rm -p 10000:8888 -v "${PWD}":/home/jovyan/work jupyter/datascience-notebook:2023-08-19
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docker run -it --rm -p 10000:8888 -v "${PWD}":/home/jovyan/work jupyter/datascience-notebook:2023-09-25
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```
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The use of the `-v` flag in the command mounts the current working directory on the host (`${PWD}` in the example command) as `/home/jovyan/work` in the container.
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- We publish containers for both `x86_64` and `aarch64` platforms
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- Single-platform images have either `aarch64-` or `x86_64-` tag prefixes, for example, `jupyter/base-notebook:aarch64-python-3.10.5`
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- Starting from `2022-09-21`, we create multi-platform images (except `tensorflow-notebook`)
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- Starting from `2023-08-19`, we create multi-platform `tensorflow-notebook` image as well
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- Starting from `2023-09-25`, we create multi-platform `tensorflow-notebook` image as well
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## Using old images
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binder/Dockerfile

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# https://hub.docker.com/r/jupyter/base-notebook/tags
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ARG OWNER=jupyter
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ARG BASE_CONTAINER=$OWNER/base-notebook:2023-08-19
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ARG BASE_CONTAINER=$OWNER/base-notebook:2023-09-25
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FROM $BASE_CONTAINER
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LABEL maintainer="Jupyter Project <[email protected]>"
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# Fix: https://github.com/koalaman/shellcheck/wiki/SC3014
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SHELL ["/bin/bash", "-o", "pipefail", "-c"]
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ENV TAG="2023-08-19"
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ENV TAG="2023-09-25"
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COPY --chown=${NB_UID}:${NB_GID} binder/README.ipynb "${HOME}"/README.ipynb

docs/using/running.md

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### Example 1
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This command pulls the `jupyter/scipy-notebook` image tagged `2023-08-19` from Docker Hub if it is not already present on the local host.
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This command pulls the `jupyter/scipy-notebook` image tagged `2023-09-25` from Docker Hub if it is not already present on the local host.
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It then starts a container running Jupyter Server with the JupyterLab frontend and exposes the server on host port 8888.
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The server logs appear in the terminal and include a URL to the server.
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```bash
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docker run -it -p 8888:8888 jupyter/scipy-notebook:2023-08-19
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docker run -it -p 8888:8888 jupyter/scipy-notebook:2023-09-25
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# Entered start.sh with args: jupyter lab
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# list containers
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docker ps --all
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# CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
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# 221331c047c4 jupyter/scipy-notebook:2023-08-19 "tini -g -- start-no…" 11 seconds ago Exited (0) 8 seconds ago cranky_benz
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# 221331c047c4 jupyter/scipy-notebook:2023-09-25 "tini -g -- start-no…" 11 seconds ago Exited (0) 8 seconds ago cranky_benz
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# start the stopped container
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docker start --attach 221331c047c4
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### Example 2
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This command pulls the `jupyter/r-notebook` image tagged `2023-08-19` from Docker Hub if it is not already present on the local host.
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This command pulls the `jupyter/r-notebook` image tagged `2023-09-25` from Docker Hub if it is not already present on the local host.
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It then starts a container running Server and exposes the server on host port 10000.
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The server logs appear in the terminal and include a URL to the Server, but with the internal container port (8888) instead of the correct host port (10000).
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```bash
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docker run -it --rm -p 10000:8888 -v "${PWD}":/home/jovyan/work jupyter/r-notebook:2023-08-19
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docker run -it --rm -p 10000:8888 -v "${PWD}":/home/jovyan/work jupyter/r-notebook:2023-09-25
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```
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Pressing `Ctrl-C` twice shuts down the Server and immediately destroys the Docker container.
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subgidSize=$(( $(podman info --format "{{ range .Host.IDMappings.GIDMap }}+{{.Size }}{{end }}" ) - 1 ))
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```
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This command pulls the `docker.io/jupyter/r-notebook` image tagged `2023-08-19` from Docker Hub if it is not already present on the local host.
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This command pulls the `docker.io/jupyter/r-notebook` image tagged `2023-09-25` from Docker Hub if it is not already present on the local host.
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It then starts a container running a Jupyter Server with the JupyterLab frontend and exposes the server on host port 10000.
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The server logs appear in the terminal and include a URL to the server, but with the internal container port (8888) instead of the correct host port (10000).
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-v "${PWD}":/home/jovyan/work --user $uid:$gid \
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--uidmap $uid:0:1 --uidmap 0:1:$uid --uidmap $(($uid+1)):$(($uid+1)):$(($subuidSize-$uid)) \
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--gidmap $gid:0:1 --gidmap 0:1:$gid --gidmap $(($gid+1)):$(($gid+1)):$(($subgidSize-$gid)) \
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docker.io/jupyter/r-notebook:2023-08-19
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docker.io/jupyter/r-notebook:2023-09-25
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```
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```{warning}

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