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SUMMARY:Xarray: Friendly\, Interactive\, and Scalable Scientific Data Anal
 ysis - Max Jones\, Jessica Scheick\, Don Setiawan\, Tom Nicholas\, Luis Lo
 pez\, Scott Henderson\, Wietze Suijker\, Negin Sobhani
DTSTART;TZID=US/Pacific:20240708T133000
DTEND;TZID=US/Pacific:20240708T173000
DTSTAMP:20260814T033003Z
UID:pretalx-2024-HHVZ9T@cfp.scipy.org
DESCRIPTION:Xarray provides data structures for multi-dimensional labeled 
 arrays and a toolkit for scalable data analysis on large\, complex dataset
 s with many related variables. Xarray combines the convenience of labeled 
 data structures inspired by Pandas with NumPy-like multi-dimensional array
 s to provide an intuitive and scalable interface for scientific analysis. 
 This hands-on tutorial focuses on intermediate and advanced workflows usin
 g complex real-world data. We encourage participants in this workshop to b
 ring your own dataset as we will dedicate ample time to apply tutorial con
 cepts to datasets of interest!
LOCATION:Ballroom B/C
URL:https://cfp.scipy.org/2024/talk/HHVZ9T/
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