Cover Image

Introduction to computational models with Python /

Show other versions (2)

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...

Full description

Bibliographic Details
Main Author: Garrido, José M. (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, [2016]
Series:Chapman & Hall/CRC computational science series.
Subjects:
Mathematical models > Data processing.
Python (Computer program language)
Modèles mathématiques > Informatique.
Python (Langage de programmation)
MATHEMATICS > General.
Mathematical models > Data processing
Python > Programmiersprache
Computersimulation
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary: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. Divided ed into five sections, the book first introduces the basic models and techniques for designing and implementing problem solutions, independent of software and hardware tools. The second section discusses programming principles with the Python programming language, covering basic programming concepts, data definitions, programming structures with flowcharts and pseudo-code, solving problems, and algorithms. The third section describes Python lists, arrays, basic data structures, object orientation, linked lists and recursion, and running programs under Linux. In the fourth section, examples and case studies demonstrate the application of programming principles and fundamental techniques to relatively simple computational models. The final section focuses on the modeling of linear optimization problems, from problem formulation to implementation of computational models.
Item Description:"A Chapman & Hall book."
Physical Description:1 online resource (xxix, 466 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9781498712040
1498712045