1 The Numeric Extensions to Python give Python the number crunching
2 power of numeric languages like Matlab and IDL while maintaining all of the
3 advantages of the general-purpose programming language Python.
5 These extensions add two new object types to Python, and then include a
6 number of extensions that take advantage of these two new objects.
8 * Multidimensional Array Objects
9 + Efficient arrays of homogeneous machine types
10 + Arbitrary number of dimensions
11 + Sophisticated structural operations
12 * Universal Function Objects
13 + Supports mathematical functions on all python objects
14 + Very efficient for Array Objects
15 * Simple interfaces to existing numerical libraries:
16 + Linear Algebra (LAPACK)
17 + Fourier Transforms (FFTPACK)
18 + Random Numbers (RANLIB)
20 WWW: http://numeric.scipy.org/
22 Note: Development for Numeric has ceased, and users should transisition to
23 NumPy as quickly as possible.