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Learn to efficiently handle astronomical catalogs and survey data in Julia through a conference talk demonstrating the integration of specialized packages for astronomy and astrophysics workflows. Explore how Julia's multiple dispatch system enables uniform syntax across different data sources, from in-memory datasets to remote Virtual Observatory services. Discover key building blocks including SkyCoords.jl for coordinate handling, Uncertain.jl for uncertainty management, VirtualObservatory.jl for catalog querying, FlexiJoins.jl for data matching, SkyImages.jl for image integration, and Makie.jl for visualization. See practical demonstrations of how these packages work together to process observational data spanning different wavelengths, times, and observatories with varying sizes and access modes. Gain insights into existing package interoperability and identify areas where additional integrations could streamline common astronomical data analysis tasks.
