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Introduction to Computational Models with Python (Hardcover)
Loot Price: R3,317
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Introduction to Computational Models with Python (Hardcover)
Series: Chapman & Hall/CRC Computational Science
Expected to ship within 12 - 19 working days
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Introduction to Computational Models with Python explains how to
implement computational models using the flexible and easy-to-use
Python programming language. The book uses the Python programming
language interpreter and several packages from the huge Python
Library that improve the performance of numerical computing, such
as the Numpy and Scipy modules. The Python source code and data
files are available on the author's website. The book's five
sections present: An overview of problem solving and simple Python
programs, introducing the basic models and techniques for designing
and implementing problem solutions, independent of software and
hardware tools Programming principles with the Python programming
language, covering basic programming concepts, data definitions,
programming structures with flowcharts and pseudo-code, solving
problems, and algorithms Python lists, arrays, basic data
structures, object orientation, linked lists, recursion, and
running programs under Linux Implementation of computational models
with Python using Numpy, with examples and case studies The
modeling of linear optimization problems, from problem formulation
to implementation of computational models This 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.
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