BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//cfp.scipy.org//2023//speaker//WW7QLE
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20220711T000000
TZNAME:CDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0500
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20221106T020000
RDATE:20231105T020000
TZNAME:CST
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20230312T030000
RDATE:20240310T030000
TZNAME:CDT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:Xarray: Friendly\, Interactive\, and Scalable Scientific Data Anal
 ysis - Deepak Cherian\, Thomas Nicholas\, Anderson Banihirwe\, Jessica Sch
 eick\, Don Setiawan\, Scott Henderson\, Negin Sobhani
DTSTART;TZID=America/Chicago:20230711T133000
DTEND;TZID=America/Chicago:20230711T173000
DTSTAMP:20261007T033322Z
UID:pretalx-2023-QXAYRM@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 tutorial will introduce data scientists already familiar with Xarray 
 to more intermediate and advanced topics\, such as applying functions in S
 ciPy/NumPy with no Xarray equivalent\, advanced indexing concepts\, and wr
 apping other array types in the scientific Python ecosystem.
LOCATION:Classroom 203
URL:https://cfp.scipy.org/2023/talk/QXAYRM/
END:VEVENT
END:VCALENDAR