Computational Physics with Python (Mark Newman)

 
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Computational Physics with Python (Mark Newman)

This book offers a thorough introduction to the discipline of computational physics, replete with Python programming examples and exercises. Virtually every significant physics discovery made today, from astrophysics and particle physics to biophysics and condensed matter relies heavily on computers.

The principles of computational physics are covered in this book, along with straightforward explanations of the methods that every physicist should be familiar with, such as finite difference algorithms, numerical quadrature, and the fast Fourier transform. The book provides an in-depth overview of the subject for undergraduate students, and it is also appropriate for advanced students or researchers who want to study the fundamentals of this significant discipline.

For studying, instructing in, or conducting computational physics, Python is a superb alternative. This page includes a collection of tools the author created for instructors and students with an interest in Python and computational physics.

Ebook Details

Author(s)
Publisher
Published
Published Date / Year
(November 7, 2012); University of Michigan, 2012
Hardcover
562 pages
eBook Format
PDF files
ISBN-10
1480145513
ISBN-13
978-1480145511

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