Join NCAR's ViSR and GeoCAT teams at AMS and AGU for a tutorial titled Visualizing 2D and 3D Geoscience Data in Python.
Register directly for the AMS tutorial. For the AGU tutorial, register by December 1st and be sure to click "add an event" and look for "SCIWS24 - Visualizing 2D and 3D Geoscience Data in Python" when registering. If you've already registered, log back into the registration site with your AGU registration information. Then click on "add sessions and events" and select "SCIWS24 - Visualizing 2D and 3D Geoscience Data in Python."
NCAR's GeoCAT and VAPOR groups are committed to open science by developing open source, scalable, multi-platform data analysis and visualization tools that enable exploratory analysis of complex/large datasets in the scientific Python ecosystem.
This workshop will guide the participants through state-of-the-art (e.g. static plotting with Matplotlib, projections with Cartopy, etc.) and novel techniques (e.g. interactive big-data rendering with Datashader and Holoviews) in 2D/3D geoscience data visualization in the scientific Python ecosystem as well as NCAR's visualization tools such as GeoCAT-examples, GeoCAT-viz, UXarray-plot, and VAPOR.
Questions? Email John Clyne.
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Taysia Peterson
Administrative Assistant II
Computational and Information Systems Lab (CISL)
National Center for Atmospheric Research (NCAR)
Boulder, CO
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