“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

Bio

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.

How-to-Run

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.

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