NumPy

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.

Last updated 9 Jul, 2008


User level: Intermediate

User Rating:

Homepage

License(s) :

BSD_3Clause

Rate it!

 

About

Leadership
Related Projects

SciPy, Thousand Parsec Client

Versions

1.10

User Community and Support

General Resources

Development

 

Please send comments on these web pages to bug-directory@fsf.org, send other questions to info@fsf.org.

Copyright © 2000 - 2009 Free Software Foundation, Inc., 51 Franklin Street, 5th Floor, Boston, MA 02110-1301, USA

The copyright licensing notice below applies to this text. Any software described in this text has its own copyright notice and license, which can usually be found in the distribution itself.

Permission is granted to copy, distribute, and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, with no Front-Cover Texts, and with no Back-Cover Texts.