Fast multidimensional array facility for Python
NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type.
There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation. Also included in
this package is a version of f2py that works properly with NumPy.
NumPy is a replacement of Numeric Python that adds the features of numarray.
python setup.py install
The setup.py script will take advantage of fast BLAS on your system if it can
find it. You can help the process with a site.cfg file.
If fast BLAS and LAPACK cannot be found, then a slower default version is used.
The most current development version is always available from a
Very complete documentation is available from the primary developer of
NumPy for a small fee. After a brief period, that documentation
will become freely available. See http://www.trelgol.com for
details. The fee and restriction period is intended to allow people
and to encourage companies to easily contribute to the development of
This directory will contain all public documentation tha
Notes for the swig_numpy/new directory
This set of files is for developing and testing file numpy.i, which
is intended to be a set of typemaps for helping SWIG interface between
C and C++ code that uses C arrays and the python module Numeric (also
known informally as NumPy, also to be replaced in the future with
scipy_core). It is ultimately hoped that nump
.. -*- rest -*-
F2PY: Fortran to Python interface ge
.TH "F2PY" 1
f2py \- Fortran to Python interface generator
(1) To construct ex
Travis Oliphant for the majority of code adaptation
Jim Hugunin, Paul Dubois, Konrad Hinsen, David A
F2PY__ is an open source Python package and c
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