Astrophysical Recipes (Second Edition): The Art of AMUSE

Computational astrophysics connects observational data with theoretical models, driven by advances in both telescope technology and computing power. As simulations grow in scale and realism, software must evolve to keep pace. This book introduces AMUSE, a Python-based framework for modular, multi-physics simulations, allowing users to combine solvers and build complex models. The updated edition supports Python 3 and includes new examples in hydrodynamics and planetary systems. It also offe...