Dask Tutorial

The NCAR/UCAR virtual Python Tutorial Seminar Series continues with a 2-part introduction to the Python package dask on Wednesday, July 14th and August 11th at 1 PM Mountain Daylight Time. These sessions will be led by Anderson Banihirwe.

The content for this tutorial is hosted on Anderson’s Xarray Tutorial Github Repository. This is the same repository as the previous Xarray tutorials.

Preparation

If you did attend the Xarray tutorials (and have cloned this repository before):

• Stash their local changes with git add . and git stash

• Pull in upstream changes to the repository with git pull

• Update the conda environment with conda env update -f binder/environment.yml

If you did not attend the Xarray tutorials:

• Check your conda install if this is the first tutorial in the series you are joining us for with conda --version and if necessary install by following these instructions.

• Navigate to Anderson’s Xarray Tutorial Github Repository.

• Clone this repository by running git clone https://github.com/andersy005/xarray-tutorial

• Create a Conda environment from the binder/environment.yml file with the terminal by first moving into the xarray-tutorial directory with cd xarray-tutorial and then typing conda env update --file binder/environment.yml

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

• Test your installation by launching JupyterLab with jupyter lab.

Sign Up

If you would like 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.

Scaling Python with Dask Class Takeaways   Dask Tutorial UPDATED DATES