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Computational Physics 3e - Problem Solving with Python (Paperback, 3rd Edition)
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Computational Physics 3e - Problem Solving with Python (Paperback, 3rd Edition)
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The use of computation and simulation has become an essential part
of the scientific process. Being able to transform a theory into an
algorithm requires significant theoretical insight, detailed
physical and mathematical understanding, and a working level of
competency in programming. This upper-division text provides an
unusually broad survey of the topics of modern computational
physics from a multidisciplinary, computational science point of
view. Its philosophy is rooted in learning by doing (assisted by
many model programs), with new scientific materials as well as with
the Python programming language. Python has become very popular,
particularly for physics education and large scientific projects.
It is probably the easiest programming language to learn for
beginners, yet is also used for mainstream scientific computing,
and has packages for excellent graphics and even symbolic
manipulations. The text is designed for an upper-level
undergraduate or beginning graduate course and provides the reader
with the essential knowledge to understand computational tools and
mathematical methods well enough to be successful. As part of the
teaching of using computers to solve scientific problems, the
reader is encouraged to work through a sample problem stated at the
beginning of each chapter or unit, which involves studying the
text, writing, debugging and running programs, visualizing the
results, and the expressing in words what has been done and what
can be concluded. Then there are exercises and problems at the end
of each chapter for the reader to work on their own (with model
programs given for that purpose).
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