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This skill provides specialized guidance for mastering Xarray, the industry-standard Python library for working with labeled N-dimensional arrays. It enables users to efficiently handle complex scientific datasets—such as climate models, satellite imagery, and experimental simulations—by leveraging labeled dimensions, coordinates, and metadata. From basic data selection to advanced workflows involving Dask for lazy loading and DataTree for hierarchical organization, this skill ensures high-performance implementations for data-intensive scientific research.
