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Diffstat (limited to 'development/numpy/README')
| -rw-r--r-- | development/numpy/README | 23 |
1 files changed, 10 insertions, 13 deletions
diff --git a/development/numpy/README b/development/numpy/README index 6ab3f1293e..26ea118b48 100644 --- a/development/numpy/README +++ b/development/numpy/README @@ -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. |