| Introduction to Computational Models with Python (CRC Press) |
| Monday, 01 February 2016 | |||
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Jose M. Garrido explains how to implement computational models using the flexible and easy-to-use Python programming language. The book introduces the principles of computational modeling as well as the approaches of multi- and interdisciplinary computing to beginners in the field. It provides the foundation for more advanced studies in scientific computing, including parallel computing using MPI, grid computing, and other methods and techniques used in high-performance computing. <ASIN:1498712037> The book uses several packages from the huge Python Library, such as Numpy and Scipy to improve the performance of numerical computing. The Python source code and data files are available on the author’s website. Author: Jose M. Garrido For recommendations of Python titles see the following articles on Programmers Bookshelf:
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