Abstract
aims to support and promote the emerging discipline of computational science and engineering and to foster the use of computers and computational techniques in scientific research and education. Every issue contains broad-interest theme articles, departments, news reports, and editorial comment. Collateral materials such as source code are made available electronically over the Internet. The in-tended audience comprises physical scientists, engineers, mathematicians, and others who would benefit from computational methodologies.
Keywords
Python (programming language)Computer scienceProgramming languageHigh-level programming languageSoftware engineeringComputational scienceProgramming paradigm
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Publication Info
- Year
- 2007
- Type
- article
- Volume
- 9
- Issue
- 3
- Pages
- 10-20
- Citations
- 3283
- Access
- Closed
External Links
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Citation Metrics
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232
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2673
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Cite This
Travis E. Oliphant
(2007).
Python for Scientific Computing.
Computing in Science & Engineering
, 9
(3)
, 10-20.
https://doi.org/10.1109/mcse.2007.58
Identifiers
- DOI
- 10.1109/mcse.2007.58