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:
array bag dataframe delayed futures machine-learning xarray
dataframes/01-data-access dataframes/02-groupby
machine-learning/scale-scikit-learn machine-learning/parallel-prediction machine-learning/training-on-large-datasets machine-learning/incremental machine-learning/xgboost machine-learning/voting-classifier machine-learning/tpot machine-learning/glm machine-learning/svd
applications/embarrassingly-parallel applications/json-data-on-the-web applications/satellite-imagery-geotiff applications/image-processing applications/async-await