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Devcontainer template repository for working on data science projects with Python and R.

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Data Science with Python and R

Summary

Data science and Jupyter Notebooks development with Python and R. Installs dependencies from your requirements.txt file, and the Python, R, and Jupyter VS Code extensions.

Metadata Value
Categories Core, Languages
Image type Dockerfile
Published image ghcr.io/microsoft/datascience-py-r
Published image architecture(s) x86-64
Container host OS support Linux, macOS, Windows
Container OS Ubuntu
Languages, platforms Python, R, Jupyter

Using this image

Configuration

You can directly reference pre-built versions of .devcontainer/Dockerfile by using the image property in .devcontainer/devcontainer.json.

Refer to this guide for more details.

Installing or updating Python utilities

This container installs all Python development utilities using pipx to avoid impacting the global Python environment. You can use this same utility add additional utilities in an isolated environment. For example:

pipx install prospector

Note that if you change the version of Python from the default, you'll need to run a few commands to update the utilities and pipx. More on that next.

Installing a different version of Python

You can install different versions of Python by changing the Python feature version in the devcontainer.json file.

You can install different versions of Python than the one in this image by running the following from a terminal (as covered in the user FAQ for Anaconda):

conda install python=3.6
pip install --no-cache-dir pipx
pipx uninstall pipx
pipx reinstall-all

See the pipx documentation for additional information.

[Optional] Using the forwardPorts property

By default, frameworks like Flask only listens to localhost inside the container. As a result, we recommend using the forwardPorts property (available in v0.98.0+) to make these ports available locally.

"forwardPorts": [5000]

The appPort property publishes rather than forwards the port, so applications need to listen to * or 0.0.0.0 for the application to be accessible externally. This conflicts with the defaults of some Python frameworks, but fortunately the forwardPorts property does not have this limitation.

[Optional] Adding the contents of reqeuirements.txt to the image

This image will automatically install dependencies from the requirements.txt file in the parent folder when the container is built. You can change this behavior by altering the postCreateCommand in the devcontainer.json.

License

Copyright (c) Microsoft Corporation. All rights reserved.

Licensed under the MIT License. See LICENSE

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Devcontainer template repository for working on data science projects with Python and R.

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