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

Package version:23.8-1


                     Numerical Python

    Versions after 20.0 require Python 2.0 or later. To take advantage of 
    the "rich comparisons" (i.e., to be able to compare arrays and get
    back a boolean result) you need Python 2.1.

Web site:
Project page:
Discussion group:

===> Silicon Grap


python-numeric (23.8-1) unstable; urgency=low

  * New upstream version.

 -- Matthias Klose <>  Mon,  7 Mar 2005 01:26:04 +0100

python-numeric (23.7-2) unstable; urgency=low

  * Fix assignment to shape fails on 64bit arch (at least alpha).
    Closes: #294246.

 -- Matthias Klose <>  Tue,  8 Feb 2005 23:02:14 +0100

python-numeric (23.7-1) unstable; urgency=low



Version 23.8  March 2005
[Cooke]       Fixed more 64-bit issues (patch 117603)
[unreported]  Changed arrayfnsmodule back to PyArray_INT where the code
              typecasts to (int *).  Changed CanCastSafely to check
	      if sizeof(long) == sizeof(int)

Version 23.7  January 2005
[1075953]     added franf to fix problems on AMD64.
[1027480]     this should have been fixed before. 


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


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