This is a graduate textbook in Statistical Physics intended for students in Physics, Biophysics, Chemistry, Materials Science, and Engineering. It is based on using computer simulations in Python as a learning tool. Many exercises involve simulations, and a set of listings of computer programs are given in the appendix. Algorithms discussed include molecular dynamics, Metropolis Monte Carlo, Gibbs ensemble, and the Wolff algorithm.

About the Author

Leonard M. Sander is Professor of Physics and Complex Systems at the University of Michigan, Ann Arbor. His research interests include pattern formation, non-equilibrium statistical physics, and biophysics.

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