development/numpy: Updated for version 1.2.0

1 files changed, 10 insertions, 13 deletions

diff --git a/development/numpy/README b/development/numpy/README
index 6ab3f1293ed06..26ea118b48c9a 100644
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@@ -1,13 +1,10 @@
-The fundamental package needed for scientific computing with Python is
-called NumPy.  This package contains:
-    * a powerful N-dimensional array object
-    * sophisticated (broadcasting) functions
-    * basic linear algebra functions
-    * basic Fourier transforms
-    * sophisticated random number capabilities
-    * tools for integrating Fortran code.
-
-Besides its obvious scientific uses, NumPy can also be used as an
-efficient multi-dimensional container of generic data.  Arbitrary
-data-types can be defined.  This allows NumPy to seamlessly and
-quickly integrate with a wide-variety of databases.
+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.