Scalable Computing in Oceanography with Deepak Cherian

Deepak Cherian, a physical oceanographer and project scientist at the National Center for Atmospheric Research, joins Matt Rocklin and Hugo Bowne-Anderson to discuss scalable computing in oceanography and how he leverages Dask, Xarray, and terabyte-scale datasets to study the physics of oceans. Notebook: https://github.com/dcherian/xarray-coiled-oceanography 00:00 Introducing Deepak Cherian! 06:10 What is physical oceanography? 09:40 Introducing Xarray and Dask in Python 16:55 Visualizing these large scale simulations 24:05 Reading entire sets of files as Xarray datasets 29:21 Dask + Xarray + Numba! 45:00 The wonders of map_blocks