aboutsummaryrefslogtreecommitdiff
path: root/development/numpy-legacy/README
blob: ace9230ef8c92b6e823c5537fee9424e81ae1c02 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
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 which also makes NumPy suitable for
interfacing with general-purpose data-base applications.

There are also basic facilities for discrete fourier transform, basic
linear algebra and random number generation.

If you need to build numpy for debugging, set DEBUG=y. If software
depending on numpy is having problems with the new relaxed strides
checking, set NPY_RSC=0.

It is highly recommended to install optimized BLAS and LAPACK libs
before installing numpy. You may choose between ATLAS+LAPACK and
OpenBLAS.

IMPORTANT: This version, 1.8.2, is the latest to include the oldnumeric
           and numarray compatibility modules. Starting with version
           1.9.0 these modules got removed by the numpy developers.
           THUS: This SlackBuild conflicts with the numpy SlackBuild
                 which installs versions >= 1.9.0!