SciPy 2023

Don Setiawan

Don Setiawan is a Senior Research Software Engineer at the University of Washington, eScience Institute, Scientific Software Engineering Center (SSEC). He has expertise in Python programming, web development, geospatial data analytics, and cloud-based data engineering. He is interested in building scalable, open software to facilitate scientific discovery across fields and enforce software best practices. He has been a power user of the Xarray ecosystem for several years across various projects with Ocean Observatory Initiative (OOI), U.S. Integrated Ocean Observing System (IOOS), National Oceanic and Atmospheric Administration (NOAA), and National Aeronautics and Space Administration (NASA). He is very excited to share his knowledge and help facilitate the Xarray tutorial as this is his first time at Scipy!

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Sessions

07-11
13:30
240min
Xarray: Friendly, Interactive, and Scalable Scientific Data Analysis
Deepak Cherian, Thomas Nicholas, Negin Sobhani, Anderson Banihirwe, Jessica Scheick, Don Setiawan, Scott Henderson

Xarray provides data structures for multi-dimensional labeled arrays and a toolkit for scalable data analysis on large, complex datasets with many related variables. Xarray combines the convenience of labeled data structures inspired by Pandas with NumPy-like multi-dimensional arrays to provide an intuitive and scalable interface for scientific analysis. This tutorial will introduce data scientists already familiar with Xarray to more intermediate and advanced topics, such as applying functions in SciPy/NumPy with no Xarray equivalent, advanced indexing concepts, and wrapping other array types in the scientific Python ecosystem.

Tutorials
Classroom 203