Numerics and Numpy

Abstract

One of the growing areas of use for Python is within the scientific communities. One issue, which has always been an issue, is that Python is not very efficient when doing numeric calculations. Luckily, Python’s very design is meant to make it relatively easy to expand its functionality. The core module that helps in scientific calculations is the Numpy module. Numpy takes the most inefficient parts of dealing with numerical calculations and outsources them to external libraries that are written in C. It uses the same standard open source libraries that are used in other applications written specifically to do heavy number-crunching.