  q-Gaussian distribution appear in many science areas where we can find
systems that could be described within a nonextensive framework. Usually, a way
to assert that these systems belongs to nonextensive framework is by means of
numerical data analysis. To this end, we implement random number generator for
q-Gaussian distribution, while we present how to computing its probability
density function, cumulative density function and quantile function besides a
tail weight measurement using robust statistics.
