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

qGaussian: Tools to Explore Applications of Tsallis Statistics