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).
Scientific Computing with Python 3
Your ultimate resource for getting up and running with Python numerical computations
Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules
A hands-on guide to implementing mathematics with Python, with complete...
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About This Book
Learn all about abstract design patterns and how to implement them in Python 3
Understand the structural, creational, and behavioral Python design patterns
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Begin to Code with Python
Become a Python programmer–and have fun doing it!
Start writing software that solves real problems, even if you have absolutely no programming experience! This friendly, easy, full-color book puts you in total control of your own learning, empowering you to build...
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This book is about how electronics, computing, and telecommunications have profoundly changed our lives – the way we work, live, and play. It covers a myriad of topics from the invention of the fundamental devices, and integrated circuits, through radio and television, to computers, mobile telephones...