--- author: Julia Kent date: 2021-07-08 tags: python-tutorial-series --- # 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](https://github.com/andersy005/xarray-tutorial). 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](https://docs.conda.io/en/latest/miniconda.html). - Navigate to Anderson's [Xarray Tutorial Github Repository](https://github.com/andersy005/xarray-tutorial). - 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](https://groups.google.com/a/ucar.edu/g/learnpython/about) and clicking "Join Group" next to the group name.