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Source: python-numeric
Section: math
Priority: optional
Maintainer: Matthias Klose <doko@debian.org>
Standards-Version: 2.3.0.1
Package: python-numeric
Architecture: any
Depends: python-base (>= 1.5), ${shlibs:Depends}
Description: 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)
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