Jupyter datascience Dev Container template

🚀 Get started with a Jupyter datascience template

Usage

After creating a GitHub Codespace (or a devcontainer in VS Code), open the Command Palette to find the Dev Containers: Add Dev Container Configuration Files... command. After you run it, VS Code will guide you through the creation of a .devcontainer/devcontainer.json file!

Make sure you click the Show All Definitions... option to see our unofficial templates!

Choosing a base image

You can choose from many base images to tailor the container to your project's needs. If you don't know what this means, that's OK! Just choose the datascience-notebook option. It has many packages for data science from the Julia, Python, and R communities. 🚀

📚 You can learn more about what each of these base images is and what features each of them in [the Jupyter Docker Stacks reference page].

Default command

The default command of the base image is set to start the Jupyter server. If you do not use the Jupyter server, comment out "overrideCommand": false of the devcontainer.json.

Credits

This template was originally created by [@nathancarter] and other contributors in the [microsoft/vscode-dev-containers] repository. It has since landed here. 🌠

[@nathancarter]: https://github.com/nathancarter [the Jupyter Docker Stacks reference page]: https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html [microsoft/vscode-dev-containers]: https://github.com/microsoft/vscode-dev-containers