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Discover how to handle massive geospatial datasets in this PyCon US talk that explores the powerful combination of Dask and Xarray for processing data exceeding 100TB. Learn the fundamentals of these core Python geospatial tools before diving into a practical case study using the ERA5 climate dataset that you can work with on a standard laptop. Explore recent advancements in Dask Array that enhance scalability and performance for modern large-scale data requirements. Examine the first comprehensive geospatial benchmarks collected in 2024 that demonstrate real-world performance metrics, and get a preview of an innovative query optimizer being developed specifically for large-scale array computations. This 28-minute presentation provides essential knowledge for data scientists and researchers working with increasingly massive geospatial information.
