Python for Scientists and Engineers

Authors:
K. Jarrod Millman;Michael Aivazis
Affiliations:
University of California, Berkeley;California Institute of Technology
Venue:
Computing in Science and Engineering
Year:
2011

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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.