Xarray: Friendly, Interactive, and Scalable Scientific Data Analysis
Negin Sobhani, Max Jones, Jessica Scheick, Don Setiawan, Tom Nicholas, Luis Lopez, Scott Henderson, Wietze Suijker
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 hands-on tutorial focuses on intermediate and advanced workflows using complex real-world data. We encourage participants in this workshop to bring your own dataset as we will dedicate ample time to apply tutorial concepts to datasets of interest!
