Millman, K. Jarrod and Aivazis, Michael (2011) Python for Scientists and Engineers. Computing in Science & Engineering, 13 (2). pp. 9-12. ISSN 1521-9615 http://resolver.caltech.edu/CaltechAUTHORS:20110401-151712220
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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.
| Item Type: | Article |
|---|---|
| Additional Information: | © 2011 IEEE. Date of Current Version: 07 March 2011. |
| Subject Keywords: | Programming languages, Python, Python libraries, Python tools, Scientific computing, interactive research |
| Record Number: | CaltechAUTHORS:20110401-151712220 |
| Persistent URL: | http://resolver.caltech.edu/CaltechAUTHORS:20110401-151712220 |
| Related URLs: | |
| Official Citation: | Millman, K. Jarrod; Aivazis, Michael; , "Python for Scientists and Engineers," Computing in Science & Engineering , vol.13, no.2, pp.9-12, March-April 2011 doi: 10.1109/MCSE.2011.36 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5725235&isnumber=5725228 |
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. |
| ID Code: | 23210 |
| Collection: | CaltechAUTHORS |
| Deposited By: | Ruth Sustaita |
| Deposited On: | 04 Apr 2011 14:57 |
| Last Modified: | 04 Apr 2011 14:57 |
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