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authorThomas Gellekum <tg@FreeBSD.org>1997-04-28 09:22:59 +0000
committerThomas Gellekum <tg@FreeBSD.org>1997-04-28 09:22:59 +0000
commit4036a78b4f98b595a002be5d84e2f7393e79c79f (patch)
tree6ce2098abdbd5ea26f138c32cb0db50dd461f69e /math/py-numeric/pkg-descr
parentInstall the README file to ${PREFIX}/share/doc/nhpf. (diff)
Import of the NumPy port. The Numeric extensions to Python contain
multi-dimensional arrays and interfaces to the lapack-, fftpack- and ranlib-libraries from netlib.
Notes
Notes: svn path=/head/; revision=6349
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+The Numeric Extensions to Python (NumPy) 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
+ + 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)
+
+To use the numeric extension, add /usr/local/share/python1.4/NumPy
+to your PYTHONPATH.
+
+For more information, see the NumPy home page at
+http://www.sls.lcs.mit.edu/~jjh/numeric