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Status: This is a first draft of the guidance.

git clone https://github.com/developmentseed/datacube-guide.gitcd datacube-guide# Serve the documentationuv run -- mkdocs serve# Try out the `datacube_benchmark` library in Pythonuv run python# Try out the `datacube_benchmark` library in JupyterLabuv run ipython kernel install --user --env VIRTUAL_ENV$(pwd)/.venv --name=projectuv run --with jupyter jupyter lab

The Datacube Guide was initiated in partnership with the Microsoft Planetary Computer team. We recommend checking out the wonderful work going on as part of theMicrosoft Planetary Computer Pro service as well as theOpen Planetary Computer Data Catalog. We greatly appreciate Microsoft's dedication to supporting open resources and building impactful geospatial services.

datacube-guide is distributed under the terms of theMIT license.