Guidance for avoiding common pitfalls when producing and using datacubes.

Status: This is a first draft of the guidance.

Installation

git clone https://github.com/pangeo-data/datacube-guide.git
cd datacube-guide
# Serve the documentation
uv run -- mkdocs serve
# Try out the `datacube_benchmark` library in Python
uv run python
# Try out the `datacube_benchmark` library in JupyterLab
uv run ipython kernel install --user --env VIRTUAL_ENV $(pwd)/.venv --name=project
uv run --with jupyter jupyter lab

License

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