WIT Press


Climate Analysis Routines Using Python

Price

Free (open access)

Paper DOI

10.2495/ENV000261

Volume

41

Pages

9

Published

2000

Size

995 kb

Author(s)

J. Saenz & J. Zubillaga

Abstract

Python is an interactive and powerful programming language which allows a fast development of applications. There exists a set of array-oriented extensions (Numerical Python) that allow numerical operations to be per- formed using C native code, with much better performance than the Py- thon interpreter. In this work, pyclimate, a set of subroutines built to be used in climate variability analysis is presented. They perform some of the most usual tasks during climate variability analysis. All of them are written using the numerical extensions to Python, with high numerical performance in mind. However, the simplicity of the original Python language remains in the programs built using these routines and other complementary packages. This simplicity allows easy data a

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