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# jupyterhub-server-image | ||
# JupyterHub Server Image | ||
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[![Docker Image](https://img.shields.io/docker/pulls/seblum/jupyterhub-server-image.svg)](https://hub.docker.com/r/seblum/jupyterhub-server-image) | ||
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This repository contains a Dockerfile to build a custom JupyterHub server image that includes Jupyter Server Proxy. The image enables seamless integration between Jupyter Data Science notebooks and Visual Studio Code. | ||
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## Features | ||
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- Custom JupyterHub server image with Jupyter Server Proxy | ||
- Enables Jupyter Data Science notebooks and Visual Studio Code integration | ||
- Container image available on DockerHub Registry for easy deployment | ||
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## Docker Image | ||
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The container image is available on DockerHub Registry. You can pull the pre-built image using the following command: | ||
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```bash | ||
docker pull seblum/jupyterhub-server-image:latest | ||
``` | ||
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## How to Use | ||
1. Pull the Docker image from the DockerHub Registry as described above. | ||
2. Deploy the JupyterHub server using the Docker image. Customize the deployment according to your environment requirements. | ||
3. Access Jupyter Data Science notebooks and seamlessly switch to Visual Studio Code environments using Jupyter Server Proxy. | ||
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## Contributions | ||
Contributions to this project are welcome! If you have any ideas or improvements, feel free to open an issue or submit a pull request. | ||
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## License | ||
This project is licensed under the MIT License. Feel free to use, modify, and distribute the code as needed. |