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Python for Scientists and Engineers

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2 Author(s)
Millman, K. Jarrod ; University of California, Berkeley ; Aivazis, Michael

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.

Published in:

Computing in Science & Engineering  (Volume:13 ,  Issue: 2 )