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Python for Scientists and Engineers

Millman, K. Jarrod and Aivazis, Michael (2011) Python for Scientists and Engineers. Computing in Science & Engineering, 13 (2). pp. 9-12. ISSN 1521-9615. https://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
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/MCSE.2011.36DOIUNSPECIFIED
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5725235&tag=1PublisherUNSPECIFIED
Additional Information:© 2011 IEEE. Date of Current Version: 07 March 2011.
Subject Keywords:Programming languages, Python, Python libraries, Python tools, Scientific computing, interactive research
Issue or Number:2
Record Number:CaltechAUTHORS:20110401-151712220
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20110401-151712220
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:03 Oct 2019 02:44

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