These examples show how to use Dask in a variety of situations.
First, there are some high level examples about various Dask APIs like arrays, dataframes, and futures, then there are more in-depth examples about particular features or use cases.
You can run these examples in a live session here: 
.. toctree:: :maxdepth: 1 :caption: Basic Examples: array bag dataframe delayed futures machine-learning xarray
.. toctree:: :maxdepth: 1 :caption: Dataframes: dataframes/01-data-access dataframes/02-groupby
.. toctree:: :maxdepth: 1 :caption: Machine Learning: machine-learning/scale-scikit-learn machine-learning/parallel-prediction machine-learning/training-on-large-datasets machine-learning/incremental machine-learning/hyperparam-opt.ipynb machine-learning/xgboost machine-learning/voting-classifier machine-learning/tpot machine-learning/glm machine-learning/svd
.. toctree:: :maxdepth: 1 :caption: Applications: applications/json-data-on-the-web applications/async-await applications/embarrassingly-parallel applications/image-processing applications/prefect-etl applications/satellite-imagery-geotiff applications/stencils-with-numba
.. toctree:: :maxdepth: 1 :caption: User Surveys: surveys/2019.ipynb