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.
If you did attend the Xarray tutorials (and have cloned this repository before):
Stash their local changes with
git add .and
Pull in upstream changes to the repository with
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 --versionand 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.ymlfile with the terminal by first moving into the
cd xarray-tutorialand 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
If you would like join the firstname.lastname@example.org 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.