About this product

Product Identifiers

PublisherCRC Press LLC

ISBN-10103211648X

ISBN-139781032116488

eBay Product ID (ePID)18057272184

Product Key Features

Number of Pages332 Pages

LanguageEnglish

Publication NameModeling and Simulation in Python

Publication Year2022

SubjectProgramming / Games, Programming / General, Computer Science, General

TypeTextbook

Subject AreaMathematics, Computers

AuthorJason M. Kinser

FormatHardcover

Dimensions

Item Weight27.3 Oz

Item Length10 in

Item Width7 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2021-059491

Dewey Edition23/eng/20220124

IllustratedYes

Dewey Decimal003/.3

Table Of ContentPreface 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

SynopsisModeling 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 NumberQA76.9.C65K56 2022