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NumPy

http://numpy.scipy.org/
The fundamental package needed for scientific computing with Python is called NumPy. This package contains:

  • a powerful N-dimensional array object
  • sophisticated (broadcasting) functions
  • basic linear algebra functions
  • basic Fourier transforms
  • sophisticated random number capabilities
  • tools for integrating Fortran code
  • tools for integrating C/C++ code

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide-variety of databases. NumPy derives from the old Numeric code base and can be used as a replacement for Numeric. It also adds the features introduced by Numarray and can also be used to replace Numarray.

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LicenseVerified byVerified onNotes
BSD 3ClauseDeborah Nicholson9 July 2008



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SciPy.orgMaintainer


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This entry (in part or in whole) was last reviewed on 9 July 2008.



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