DocumentCode
1466634
Title
Python for Scientists and Engineers
Author
Millman, K. Jarrod ; Aivazis, Michael
Author_Institution
University of California, Berkeley
Volume
13
Issue
2
fYear
2011
Firstpage
9
Lastpage
12
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.
Keywords
Computer languages; Numerical models; Programming; Scientific computing; Special issues and sections; Programming languages; Python; Python libraries; Python tools; Scientific computing; interactive research;
fLanguage
English
Journal_Title
Computing in Science & Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCSE.2011.36
Filename
5725235
Link To Document