Python in a Nutshell

Optional Numeric Modules

Many other modules are built on top of Numeric or cooperate with it. You can download some of them from the same URL as Numeric (http://sourceforge.net/projects/numpy). Some of these extra modules may already be included in the package you have downloaded. Documentation for the modules is also part of the documentation for Numeric. A rich library of scientific tools that work well with Numeric is SciPy, available at http://www.scipy.org. I highly recommend it if you are using Python for scientific or engineering computing.

Here are some key optional Numeric modules:

MLab

MLab supplies many Python functions written on top of Numeric. MLab’s functions are 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.

LinearAlgebra

LinearAlgebra supplies Python-callable functions, operating on data held in Numeric arrays, that wrap either the well-known 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 pseudo-random number generators, using various random distributions, ...