Package: python-numeric (24.2-9)

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Maintainer:

Matthias Klose (QA Page)

Similar packages:

Numerical (matrix-oriented) Mathematics for Python

This package is now deprecated, please use the python-numpy package for developing new software.

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
   * Support mathematical functions on all Python objects
   * Very efficient for array objects

Tags: Software Development: Python Development, Libraries, Field: Mathematics, Implemented in: Python, Role: Shared Library

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dep: libc6 (>= 2.7-1) [not alpha, ia64]

GNU C Library: Shared libraries
also a virtual package provided by libc6-udeb
dep: libc6.1 (>= 2.7-1) [alpha, ia64]

GNU C Library: Shared libraries
also a virtual package provided by libc6.1-udeb
dep: python (<< 2.6)

An interactive high-level object-oriented language (default version)

dep: python (>= 2.4)
dep: python-central (>= 0.6.7)

register and build utility for Python packages

sug: python-numeric-dbg

Numerical (matrix-oriented) Mathematics for Python (debug extension)
sug: python-numeric-ext

Extension modules for Numeric Python
sug: python-numeric-tutorial (>= 20.0)

Tutorial for the Numerical Python Library

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