The Numeric Extensions to Python 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) WWW: http://numeric.scipy.org/ _____________ Note: Development for Numeric has ceased, and users should transisition to NumPy as quickly as possible.