Supported Applications
NumPy
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Description
contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities.
NumPy is installed as a module within Python.
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Installation
Use the following command to install this title with the CLI client:$ sbgrid-cli install numpy
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Primary Citation*
S. van der Walt, C. S.C., and V. G.. 2011. The NumPy Array: A Structure for Efficient Numerical Computation. Computing in Science & Engineering. IEEE. 13(2): 22-30.
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*Full citation information available through
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Keywords
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Default Versions
Linux 64:  1.11.1
OS X INTEL:  1.11.1 -
Other Versions
Linux 64:
1.9.2 -
OS X INTEL:
1.9.2
Developers
Charles Harris, Jarrod Millman, Ralf Gommers, Robert Kern, Travis Oliphant