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Computational Physics with Python

  • Category: Python Programming
  • Author: Eric Ayars, Paul A. Nakroshis
  • File type: PDF (194 pages, 7.5 MB)

Read and download free eBook intituled Computational Physics with Python in format PDF (194 pages, 7.5 MB) created by Eric Ayars, Paul A. Nakroshis.

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.

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Computational Physics with Python

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