SciPy 2026#
Welcome to the Xarray SciPy 2026 Tutorial!#
🚧👷♀️🏗️ This page is under construction. Please check back later.
Everything is an Xarray Dataset
July 14, 13:30–17:30 (CDT), University of Minnesota (526 Delaware Street SE), room HSEC 2-138
This 4-hour workshop will explore content from the Xarray tutorial, which contains a comprehensive collection of hands-on tutorial Jupyter Notebooks. We will review a curated set of examples that will prepare you for increasingly complex real-world data analysis tasks!
Learning Goals
Understand Xarray’s core data structures
Understand how to use various backend engines, as well as create your own
Understand what data cataloguing is, and how it applies to Xarray
Understand how common storage formats correspond to the DataTree model
Understand how to use Xarray’s flexible indices
Schedule#
*Times in local time
Use the links to navigate to the right notebooks.
Everything is an Xarray dataset
Topic |
Time |
Notebook Links |
|---|---|---|
Introduction and Setup |
1:30 (10 min) |
|
The Xarray Data Model |
1:40 (50 min) |
Data structures Part 1 |
10 minute Break |
||
Xarray backends |
2:40 (60 min) |
Intro to backends |
10 minute Break |
||
Data cataloguing |
3:50 (40 min) |
|
10 minute Break |
||
Flexible indices |
4:40 (50 min) |
Why an index |
Tutorial Setup#
Refer to the Getting Started Section for various options to run tutorial notebooks either on your personal computer or on a free Cloud-hosted server.