Treffer: Use Python for Scientific Computing.

The article discusses the advantages of using Python, a programming language, particularly for scientific computing. It presents the packages I called numpy and scipy and their functions. It states that numpy provides extended math capabilities while scipy simplifies the roots of polynomials, doing Fourier transformations, doing and numerical integral. Also, it offers information on another package called ScientificPython which has the ability to do parallel programming built in. It identifies the types of parallel programming including shared memory and message passing.