The second edition of "Monte Carlo Methods in Statistical Physics," edited by K. Binder, presents an updated review of Monte Carlo simulation methods in statistical physics. Since its first publication in 1978, the field has expanded significantly, leading to the addition of a companion volume. This second edition includes a new chapter on recent trends in Monte Carlo simulations, along with typographical corrections and additional references. The book covers the theoretical background and practical implementation of Monte Carlo methods, as well as their applications in various areas of physics, including the calculation of thermal properties, scattering functions, and the behavior of systems near critical points. It also discusses the simulation of classical fluids, phase diagrams of mixtures and magnetic systems, quantum many-body problems, and the simulation of small systems. The book also addresses relaxation phenomena, crystal growth, systems with disorder, and applications in surface physics. The authors highlight the advantages of Monte Carlo simulations, such as their ability to provide detailed microscopic information and their utility in comparing with experimental data and theoretical models. The book is a comprehensive resource for scientists and students in theoretical physics, physical chemistry, condensed-matter physics, materials science, computational physics, and applied mathematics. The contributors include leading experts in the field, and the book provides a detailed overview of the current state of Monte Carlo methods in statistical physics.The second edition of "Monte Carlo Methods in Statistical Physics," edited by K. Binder, presents an updated review of Monte Carlo simulation methods in statistical physics. Since its first publication in 1978, the field has expanded significantly, leading to the addition of a companion volume. This second edition includes a new chapter on recent trends in Monte Carlo simulations, along with typographical corrections and additional references. The book covers the theoretical background and practical implementation of Monte Carlo methods, as well as their applications in various areas of physics, including the calculation of thermal properties, scattering functions, and the behavior of systems near critical points. It also discusses the simulation of classical fluids, phase diagrams of mixtures and magnetic systems, quantum many-body problems, and the simulation of small systems. The book also addresses relaxation phenomena, crystal growth, systems with disorder, and applications in surface physics. The authors highlight the advantages of Monte Carlo simulations, such as their ability to provide detailed microscopic information and their utility in comparing with experimental data and theoretical models. The book is a comprehensive resource for scientists and students in theoretical physics, physical chemistry, condensed-matter physics, materials science, computational physics, and applied mathematics. The contributors include leading experts in the field, and the book provides a detailed overview of the current state of Monte Carlo methods in statistical physics.