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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)
-
-For more information, see the NumPy home page at
-<URL:http://www.sls.lcs.mit.edu/~jjh/numeric>.