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Material for tutorialSolving large-scale inverse problems in Python with PyLops, to be taughtatPyData Global 2020 course.

The material covered during the tutorial is composed of 3 jupyter notebooks. Participants can either use:

• local Python installation (follow theseinstructionsto setup your environment)
• a Cloud-hosted environment such as Google Colab (use links provided below to open the notebookdirectly in Colab).

• Matteo Ravasi (mrava87), Equinor ASA
• David Vargas (davofis), Utrecht University
• Ivan Vasconcelos (ivasconcelosUU), Utrecht University

Session	Exercise (Github)	Exercise (Colab)	Solutions (Colab)	Videos
1: Introduction	Link			Link
2: Image Deblurring	Link			Link
3: Radon Transforms	Link			Link
4: What's next?	Link			Link

The material in this repository is open and can be modified and redistributed according to the chosen licences.

Text is licensed underCC BY Creative Commons License.

Code is licensed under theApache License, Version 2.0.