Computational Physics: Problem Solving with Python

The classic in the field for more than 25 years, now with increased emphasis on data science and new chapters on quantum computing, machine learning (AI), and general relativity Computational physics combines physics, applied mathematics, and computer science in a cutting-edge multidisciplinary approach to solving realistic physical problems.It has become integral to modern physics research because of its capacity to bridge the gap between mathematical theory and real-world system behavior.Computational Physics provides the reader with the essential knowledge to understand computational tools and mathematical methods well enough to be successful. Its philosophy is rooted in ?learning by doing?, assisted by many sample programs in the popular Python programming language. The first third of the book lays the fundamentals of scientific computing, including programming basics, stable algorithms for differentiation and integration, and matrix computing. The latter two-thirds of the textbook cover more advanced topics such linear and nonlinear differential equations, chaos and fractals, Fourier analysis, nonlinear dynamics, and finite difference and finite elements methods. A particular focus in on the applications of these methods for solving realistic physical problems.e fourth edition of Computational Physics will also find:An exceptionally broad range of topics, from simple matrix manipulations to intricate computations in nonlinear dynamics A whole suite of supplementary material: Python programs, Jupyter notebooks and videos Computational Physics is ideal for students in physics, engineering, materials science, and any subjects drawing on applied physics.Read More Computational Physics: Problem Solving with Python 4th Edition is written by Rubin H. Landau; Manuel J. P?ez; Cristian C. Bordeianu and published by Wiley-Blackwell. ISBNs for Computational Physics are 9783527843312, 3527843310 and the print ISBNs are 9783527414253, 3527414258.Natural Language Processing with Tensor Flow: Teach language to machines using Python’s deep learning library 1st Edition is written by Thushan Ganegedara and published by Packt Publishing. ISBNs for Natural Language Processing with Tensor Flow are 9781788477758, 1788477758 and the print ISBNs are 9781788478311, 1788478312.