Published March 2011
| public
Journal Article
Python for Scientists and Engineers
- Creators
- Millman, K. Jarrod
- Aivazis, Michael
Abstract
Python has arguably become the de facto standard for exploratory, interactive, and computation-driven scientific research. This issue discusses Python's advantages for scientific research and presents several of the core Python libraries and tools used in scientific research.
Additional Information
© 2011 IEEE. Date of Current Version: 07 March 2011.Additional details
- Eprint ID
- 23210
- DOI
- 10.1109/MCSE.2011.36
- Resolver ID
- CaltechAUTHORS:20110401-151712220
- Created
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2011-04-04Created from EPrint's datestamp field
- Updated
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2021-11-09Created from EPrint's last_modified field