# Jupyter Data Science Notebooks (Community)

## Summary

*Use Jupyter Data Science Notebooks with Python, R, Julia, and more.*

| Metadata | Value |  
|----------|-------|
| *Contributors* | Nathan Carter (@nathancarter) |
| *Categories* | Data Science |
| *Definition type* | Dockerfile |
| *Works in Codespaces* | Yes |
| *Container host OS support* | Linux, macOS, Windows |
| *Container OS* | Ubuntu |
| *Languages, platforms* | Python, R, Julia, numpy, pandas, tidyverse, much more |

## Usage

 1. From the VS Code command palette, choose "Remote-Containers: Open Folder in Container..."
 2. Choose the folder of your data science project, then choose this extension.
 3. Open an `.ipynb` file and it will run Jupyter from within the container.

[See here for information on using this definition with an existing project](https://aka.ms/vscode-remote/containers/getting-started/open).

If you prefer, you can also just look through the contents of the `.devcontainer` folder to understand how to make changes to your own project.

## License

Copyright (c) Microsoft Corporation. All rights reserved.

Licensed under the MIT License. See [LICENSE](https://github.com/microsoft/vscode-dev-containers/blob/main/LICENSE).
