This is the first in the series of lunch tutorials that we organize in the scope of Amsterdam Imaging Hub, where we aim to bring together specialists in experimental and computational aspects of scientific imaging.
In this tutorial talk, Dr. Matteo Ravasi of Shearwater GeoServices will introduce PyLops – a Python library developed with the goal of democratizing inverse problems, allowing domain experts to focus on answering scientific questions instead of repeatedly developing the fundamental building blocks (i.e., operators and solvers). The talk will illustrate how the large variety of linear operators and functionalities included in PyLops can be combined to write high-level code without sacrificing performance, both for CPU and GPU backends and from laptop to supercomputer scale.
