“Thinking with Xarray” Tutorial#

The NCAR/UCAR virtual Python Tutorial Seminar Series continues with an intermediate-level lesson on analysis with Xarray titled “Thinking with Xarray” on March 9th at 1 PM Mountain Standard Time led by Deepak Cherian.

Xarray is an open source project and Python package that makes working with multi-dimensional arrays simple and effient by introducing labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays. See the Xarray Documentation

The content for this seminar tutorial is hosted on the new Project Pythia Tutorials GitHub organization. Within the thinking-with-xarray_2022_03_09 repository


Deepak Cherian is a Project Scientist and physical oceanographer in CGD. He helps maintain xarray and xgcm, and contributes to other projects in the Pangeo ecosystem.


This tutorial is designed to be launched from Binder.

  • Click the “Launch Binder” button at the top level of the repository.

You may also download the tutorial from GitHub to run it locally:

  • Check your conda install with conda --version and if necessary install by following these instructions.

  • Clone this repository by running git clone https://github.com/ProjectPythiaTutorials/thinking-with-xarray_2022_03_09 in your terminal.

  • Still in the terminal, create a Conda environment from the environment.yml file by first moving into the thinking-with-xarray_2022_03_09 directory with cd thinking-with-xarray_2022_03_09 and then conda env update --file environment.yml

  • Activate your environment in the terminal with conda activate pythia-thinking-with-xarray-tutorial.

  • Test your installation by launching JupyterLab with jupyter lab.

Sign Up#

If you would like to join the learnpython@ucar.edu Google group to be informed of updates and events in the seminar series, please do so by following this link and clicking “Join Group” next to the group name.