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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>.
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