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Numerical (matrix-oriented) mathematics for Python

The Numeric Extensions to Python (NumPy) add powerful multi-dimensional array objects to the wonderful general purpose programming language Python. These new objects give Python the number crunching power of numeric languages like Matlab and IDL while maintaining all of the advantages of the general-purpose programming language Python.

These extensions add two new object types to Python, and then include a number of extensions that take advantage of these two new objects:

- Multidimensional Array Objects * Efficient arrays of homogeneous machine types (floats, longs, complex doubles, ?) * Arbitrary number of dimensions * Sophisticated structural operations - Universal Function Objects * Supports mathematical functions on all python objects * Very efficient for Array Objects - Simple interfaces to existing numerical libraries: * Linear Algebra (LAPACK) * Fourier Transforms (FFTPACK) * Random Numbers (RANLIB)

Package version:1.1-1


 python-numeric for Debian GNU/Linux

This is Numeric Python, packaged for Debian GNU/Linux by
Matthias Klose <>. This package is based on NumPy-1.1.

Matthias Klose <>, Mon,  9 Mar 1998 11:00:24 +0100


- python-numeric should use the lapack shared library supplied with debian.


This package was debianized by Matthias Klose on
Mon,  9 Mar 1998 11:00:24 +0100.

It was downloaded from


Distributed as a public service by X-Division, Lawrence Livermore
National Laboratory. Contact for questions
regarding this distribution.

Most of Numerical Python was developed outside of LLNL. To the extent
that an

Browse inside python-numeric_1.1-1.deb

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