This chapter discusses the use of data and data science to choose values for model parameters, and suggests a few methods and literature pointers to techniques that can be helpful to instantiate models. Furthermore, we review a set of selected software tools that help with the setup and equilibrium analysis of practical game theoretic models. We revisit various examples throughout the book in a tutorial-like step-by-step approach describing how game models can be analyzed. The focus is herein on openly and freely available software, parts of which is open source. Where applicable, we also give closed form solutions to certain classes of games, and generic transformations to make game theoretic problems solvable with help of optimization software. This shall equip practitioners with direct tools to use in practice, and with further literature pointers.