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Modeling and Simulation in Python, Kinser, Jason M., 9781032116488

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Last updated on 22 Apr, 2025 14:35:41 BSTView all revisionsView all revisions

Item specifics

Condition
Good: A book that has been read, but is in good condition. Minimal damage to the book cover eg. ...
Book Title
Modeling and Simulation in Python
ISBN
9781032116488

About this product

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
103211648X
ISBN-13
9781032116488
eBay Product ID (ePID)
18057272184

Product Key Features

Number of Pages
332 Pages
Language
English
Publication Name
Modeling and Simulation in Python
Publication Year
2022
Subject
Programming / Games, Programming / General, Computer Science, General
Type
Textbook
Subject Area
Mathematics, Computers
Author
Jason M. Kinser
Format
Hardcover

Dimensions

Item Weight
27.3 Oz
Item Length
10 in
Item Width
7 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2021-059491
Dewey Edition
23/eng/20220124
Illustrated
Yes
Dewey Decimal
003/.3
Table Of Content
Preface Software 1. Introduction 2. Random Values 3. Application of Random Values 4. The Monte Carlo Method 5. Modeling Self-Organization 6. Hidden Markov Models 7. Identification of Start Codons 8. HMM Application in Baseball 9. Hidden Shakespeare Model 10. Connected Data 11. Gene Expression Arrays 12. Simultaneous Equations 13. Simulations of Motion 14. Oscillations 15. Coupled Differential Equations 16. Extraordinary Number of Solutions 17. Agent Based Modeling - Virus Spread 18. Chess Bibliography Index
Synopsis
Modeling and Simulation in Python introduces fundamental computational modeling techniques that are used in a variety of science and engineering disciplines. It emphasizes algorithmic thinking skills using different computational environments, and includes a number of interesting examples, including Shakespeare, movie databases, and virus spread., The use of Python as a powerful computational tool is expanding with great strides. Python is a language which is easy to use, and the libraries of tools provides it with efficient versatility. As the tools continue to expand, users can create insightful models and simulations. While the tools offer an easy method to create a pipeline, such constructions are not guaranteed to provide correct results. A lot of things can go wrong when building a simulation - deviously so. Users need to understand more than just how to build a process pipeline. Modeling and Simulation in Python introduces fundamental computational modeling techniques that are used in a variety of science and engineering disciplines. It emphasizes algorithmic thinking skills using different computational environments, and includes a number of interesting examples, including Shakespeare, movie databases, virus spread, and Chess. Key Features: Several theories and applications are provided, each with working Python scripts. All Python functions written for this book are archived on GitHub. Readers do not have to be Python experts, but a working knowledge of the language is required. Students who want to know more about the foundations of modeling and simulation will find this an educational and foundational resource.
LC Classification Number
QA76.9.C65K56 2022

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