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 performed using C native code, with much better performance than the Python 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 analysis of multivariate datasets from the interactive Pyton interpreter.
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