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Copy file name to clipboardExpand all lines: docs/using/faq.md
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## How to persist user data
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There are two types of data, which you might want to persist.
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There are two types of data you might want to persist.
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1. If you want to persist your environment (i.e. packages installed by `mamba`, `conda`, `pip`, `apt-get`, and so on),
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then you should create an inherited image and install packages only once while building your Dockerfile.
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```{note}
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If you install a package inside a running container (for example you run `pip install <package>` in a terminal),
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it won't be preserved when you next run your image.
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To make it work, install this package in your inherited image and rerun `docker build` command.
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To make it work, install this package in your inherited image and rerun the `docker build` command.
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```
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2. If you want to persist user data (files created by you, like `Python` scripts, notebooks, text files, and so on),
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We have lots of users with different packages they want to use.
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Adding them all is impossible, so we have several images to choose from.
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[Choose the image](selecting.md), that is closest to your needs, and feel free to [add your package on top of our images](recipes.md#using-mamba-install-recommended-or-pip-install-in-a-child-docker-image).
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[Choose the image](selecting.md) that is closest to your needs, and feel free to [add your package on top of our images](recipes.md#using-mamba-install-recommended-or-pip-install-in-a-child-docker-image).
Copy file name to clipboardExpand all lines: docs/using/running.md
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### Example 1
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This command pulls the `jupyter/scipy-notebook` image tagged `2025-02-12` from Quay.io 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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It then starts a container running a 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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### Example 2
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This command pulls the `jupyter/r-notebook` image tagged `2025-02-12` from Quay.io 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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It then starts a container running a Jupyter 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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## Using JupyterHub
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You can configure JupyterHub to launcher Docker containers from the Jupyter Docker Stacks images.
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You can configure JupyterHub to launch Docker containers from the Jupyter Docker Stacks images.
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If you've been following the [Zero to JupyterHub with Kubernetes](https://z2jh.jupyter.org/en/latest/) guide,
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see the [Use an existing Docker image](https://z2jh.jupyter.org/en/latest/jupyterhub/customizing/user-environment.html#choose-and-use-an-existing-docker-image) section for details.
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If you have a custom JupyterHub deployment, see the [Picking or building a Docker image](https://jupyterhub-dockerspawner.readthedocs.io/en/latest/docker-image.html)
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