Published July 10, 2024
| Version v1
Poster
Open
Facilitating scientific investigations from long-tail data with Python
Authors/Creators
- 1. USC Information Sciences Institute
- 2. University of Southern California
- 3. Quansight
- 4. Northern Arizona University
Contributors
- 1. GDI
- 2. SLB
- 3. University of North Carolina
- 4. Curvenote
- 5. Deloitte
- 6. Aptos
- 7. Arm
Description
This presentation walks through our work on creating a non-nanosecond datetime for Pandas and the development of Python toolboxes to query databases and analyze datasets using Pandas objects for interoperability.
Files
Khider_Paleoclimate_SciPy2024.pdf
Files
(3.1 MB)
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