DocumentCode
1330645
Title
Python: An Ecosystem for Scientific Computing
Author
Pérez, Fernando ; Granger, Brian E. ; Hunter, John D.
Author_Institution
Univ. of California, Berkeley, CA, USA
Volume
13
Issue
2
fYear
2011
Firstpage
13
Lastpage
21
Abstract
As the relationship between research and computing evolves, new tools are required to not only treat numerical problems, but also to solve various problems that involve large datasets in different formats, new algorithms, and computational systems such as databases and Internet servers. Python can help develop these computational research tools by providing a balance of clarity and flexibility without sacrificing performance.
Keywords
object-oriented languages; Python; computational research tool; large dataset; numerical problem; scientific computing; Programming environments; Python; arrays; data structure; high-level languages; language classifications; object-oriented languages; programming languages; scientific computing; software engineering;
fLanguage
English
Journal_Title
Computing in Science & Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCSE.2010.119
Filename
5582063
Link To Document