Python in a Nutshell, 2nd Edition

Auxiliary Numeric Modules

Many other modules are built on top of Numeric or cooperate with it. Some of these extra modules are included in the Numeric package, and their documentation is also part of Numeric’s documentation. A rich collection of scientific and engineering computing tools that work with Numeric is available at http://www.scipy.org; have a look at it if you are using Python for any kind of scientific or engineering computing.

Here are the key auxiliary modules that come with Numeric:

MLab

MLab supplies many Python functions, written on top of Numeric, but is similar in name and operation to functions supplied by the product Matlab.

FFT

FFT supplies Python-callable Fast Fourier Transforms (FFTs) of data held in Numeric arrays. FFT can wrap either the well-known FFTPACK Fortran-coded library or the compatible C-coded fftpack library, which comes with FFT.

LinearAlgebra

LinearAlgebra supplies Python-callable functions, operating on data held in Numeric arrays, wrapping either the LAPACK Fortran-coded library or the compatible C-coded lapack_lite library. LinearAlgebra lets you invert matrices, solve linear systems, compute eigenvalues and eigenvectors, perform singular value decomposition, and least-squares-solve overdetermined linear systems.

RandomArray

RandomArray supplies fast, high-quality pseudorandom number generators to build Numeric arrays with various random distributions.

MA

MA supports masked arrays (i.e., arrays that can have missing or invalid values). MA supplies ...