This workshop will provide an introduction to Dask in Python for satellite image analysis on distributed systems at scale. We will learn workflows for accessing Earth Observation satellite imagery from NASA as we learn to interact efficiently with images that are larger than the onboard memory of a single chip, build and run custom functions targeted at only the pixels needed for our analysis goals, and process targeted, machine learning ready datasets from these images with the help of Dask's parallelization and distributed data capabilities. This workshop is aimed at researchers who have intermediate Python experience or higher, and all levels of experience (beginner-advanced) with HPC computing. Access to Sherlock is required to participate fully in the session. This workshop is offered in partnership with the SDSS Center for Computation.

• Date and Time: 1:00–2:00PM, Thursday, February 12, 2026
• Location: Branner Earth Sciences Library and Zoom (link provided upon registration)
• Instructors: Ellianna Abrahams (Research Software and Technology Consultant), Maricela Abarca (Data Curator for Interdisciplinary Sustainability)

This workshop is part of Love Data Week, an annual festival highlighting topics, opportunities and services relevant to data in research.

To access Branner Library, please bring your Stanford ID and tap in. The library is on the 2nd floor of Mitchell and is ADA accessible.

We will be taking photos at this event for publicity purposes. Your presence at this event constitutes consent to be photographed unless you express otherwise.