Session 3 Visualization and Data Discovery Using Python.

Tuesday, 14 January 2020: 10:30 AM-12:00 PM
157AB (Boston Convention and Exhibition Center)
Host: 10th Symposium on Advances in Modeling and Analysis Using Python
Chair:
Johnny Lin, University of Washington Bothell, Computing and Software Systems Division, Bothell, WA

Submissions are welcome on visualization and data discovery using Python. Topics can range from new tools and platforms in visualizing complex data to how Python was used to interrogate and stratify complex data.

Papers:
10:30 AM
3.1
MetPy 1.0: An Upgrade from GEMPAK for Twenty-First Century Atmospheric Science Data Analysis and Visualization
Ryan M. May, UCAR/Unidata, Boulder, CO; and Z. S. Bruick and K. H. Goebbert
Recorded Presentation

3.2
Developing Real-Time Datasets for the NOAA Science on a Sphere

10:45 AM
3.3
Design and Implementation of the Model Analysis Platform for Energy Systems
Michael Ewens Kelleher, ORNL, Oak Ridge, TN; and M. Ashfaq and K. J. Evans
Recorded Presentation

11:15 AM
3.4
Data Exploration with PyFerret
Eugene F. Burger, PMEL, Seattle, CA; and K. M. Smith and A. Manke
Recorded Presentation

3.5
Dredging Data Discovery with Datashader

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
See more of: 10th Symposium on Advances in Modeling and Analysis Using Python
<< Previous Session | Next Session >>