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March/April 2011 (vol. 13 no. 2)
pp. 9-12
K. Jarrod Millman, University of California, Berkeley
Michael Aivazis, California Institute of Technology

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.

1. Paul Dubois, "Python: Batteries Included," Computing in Science and Eng., vol. 9, no. 3, 2007, pp. 7–9.

Index Terms:
Programming languages, Python, Scientific computing, interactive research, Python libraries, Python tools
Citation:
K. Jarrod Millman, Michael Aivazis, "Python for Scientists and Engineers," Computing in Science and Engineering, vol. 13, no. 2, pp. 9-12, March-April 2011, doi:10.1109/MCSE.2011.36
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