Imaging Earth’s subsurface with Python and Jupyter

Lindsey Heagy, a Postdoctoral researcher in the department of statistics at the University of California Berkeley, joins Matt Rocklin and Hugo Bowne-Anderson to discuss scientific computing in the geosciences with Python and Jupyter. Her research uses geophysical data to develop models of the subsurface for locating groundwater, characterizing mineral deposits, and environmental applications.