Eco.Data.Science: Python with Xarray and Dask

This tutorial will focus on Python packages, Xarray and Dask provides a powerful interface for working with and running computations on larger N-D datasets (multidimensional) utilizing encoded labels such as space and time information to make computation easier. In short, Xarray is very useful in keeping your Python code clean, short, and understandable. Dask interfaces with xarray to support parallel computations as well as work with large datasets that may not fit in computer memory. This tutorial is an adaptation from one of the geoscience use cases created for Pangeo, a community interested in creating scalable, open, and reproducible science. 

*Original date was June 4, but rescheduled to June 11 

For more information and registration, visit: https://eco-data-science.github.io/