Dask is a general purpose Spark-like big data computing framework that allows you to take advantage of Numpy/Pandas/Scikit-learn level complex algorithms, written in Pure Python. This talk provides a brief introduction of dask and focuses on how a dask cluster can be setup in the cloud to get you started with migrating your pandas/numpy workflows to more easily work with and process larger datasets.