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NumPy

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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.

Related Projects


Licensing

License Verified by Verified on Notes
BSD 3Clause Deborah Nicholson 2454656.59 July 2008


Leaders and contributors

Contact(s)Role
SciPy.orgMaintainer

Resources and communication

Software prerequisites

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



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This page was last modified on 12 April 2011, at 13:12.

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