  This paper introduces $\textbf{gemact}$, a $\textbf{Python}$ package for
actuarial modelling based on the collective risk model. The library supports
applications to risk costing and risk transfer, loss aggregation, and loss
reserving. We add new probability distributions to those available in
$\textbf{scipy}$, including the (a, b, 0) and (a, b, 1) discrete distributions,
copulas of the Archimedean family, the Gaussian, the Student t and the
Fundamental copulas. We provide an implementation of the AEP algorithm for
calculating the cumulative distribution function of the sum of dependent,
non-negative random variables, given their dependency structure specified with
a copula. The theoretical framework is introduced at the beginning of each
section to give the reader with a sufficient understanding of the underlying
actuarial models.
