Computational basics for physics -- Data analytics for physics -- Classical and nonlinear dynamics -- Wave equations and fluid dynamics -- Electricity and magnetism -- Quantum mechanics -- Thermodynamics and statistical physics -- Biological models: population dynamics and plant growth -- Additional entry-level problems.

"Our future scientists and professionals must be conversant in computational techniques. In order to facilitate integration of computer methods into existing physics courses, this textbook offers a large number of worked examples and problems with fully guided solutions in Python as well as other languages (Mathematica, Java, C, Fortran, and Maple). It's also intended as a self-study guide for learning how to use computer methods in physics. The authors include an introductory chapter on numerical tools and indication of computational and physics difficulty level for each problem"-- Provided by publisher.

Description based on print version record.