國立虎尾科技大學 |

Simulation with Python = Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Simulation with Python/ by Rongpeng Li, Aiichiro Nakano.
Reminder of title:	Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences /
Author:	Li, Rongpeng.
other author:	Nakano, Aiichiro.
Description:	XV, 166 p. 90 illus., 80 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Programming Language. -
Online resource:	https://doi.org/10.1007/978-1-4842-8185-7
ISBN:	9781484281857

Simulation with Python = Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences /
Li, Rongpeng.

Simulation with PythonDevelop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences /[electronic resource] :by Rongpeng Li, Aiichiro Nakano. - 1st ed. 2022. - XV, 166 p. 90 illus., 80 illus. in color.online resource.

Chapter 1: Calculating Pi and Beyond: Searching Order in Disorder with Simulation -- Chapter 2: Markov Chain: A Peek into the Future.Chapter 3: Multi-Armed Bandits: Probability Simulation and Bayesian Statistics -- Chapter 4: Balls in 2D Box: A Simplest Physics Engine -- Chapter 5: Percolation: Threshold and Phase Change -- Chapter 6: Queuing System: How Stock Trades are Made -- Chapter 7: Rock, Scissor and Paper: Multi-Agent Simulation -- Chapter 8: Matthew Effect and Tax Policy: Why the Rich Keeps Getting Richer -- Chapter 9: Misinformation Spreading: Simulation on a Graph (Centrality, Networkx) -- Chapter 10: Simulated Annealing and Genetic Algorithm.

Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations. The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated. After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python. You will: Use Python and numerical computation to demonstrate the power of simulation Choose a paradigm to run a simulation Draw statistical insights from numerical experiments Know how simulation is used to solve real-world problems .

ISBN: 9781484281857

Standard No.: 10.1007/978-1-4842-8185-7doiSubjects--Topical Terms:

1365750
Programming Language.

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

Simulation with Python = Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences /
LDR:03007nam a22003975i 4500 001 1082267
003 DE-He213
005 20221104140635.0
007 cr nn 008mamaa
008 221228s2022 xxu| s |||| 0|eng d
020 $a 9781484281857 $9 978-1-4842-8185-7
024 7 $a 10.1007/978-1-4842-8185-7 $2 doi
035 $a 978-1-4842-8185-7
050 4 $a QA76.73.P98
072 7 $a UMX $2 bicssc
072 7 $a COM051360 $2 bisacsh
072 7 $a UMX $2 thema
082 0 4 $a 005.133 $2 23
100 1 $a Li, Rongpeng. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1387876
245 1 0 $a Simulation with Python $h [electronic resource] : $b Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences / $c by Rongpeng Li, Aiichiro Nakano.
250 $a 1st ed. 2022.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2022.
300 $a XV, 166 p. 90 illus., 80 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Chapter 1: Calculating Pi and Beyond: Searching Order in Disorder with Simulation -- Chapter 2: Markov Chain: A Peek into the Future.Chapter 3: Multi-Armed Bandits: Probability Simulation and Bayesian Statistics -- Chapter 4: Balls in 2D Box: A Simplest Physics Engine -- Chapter 5: Percolation: Threshold and Phase Change -- Chapter 6: Queuing System: How Stock Trades are Made -- Chapter 7: Rock, Scissor and Paper: Multi-Agent Simulation -- Chapter 8: Matthew Effect and Tax Policy: Why the Rich Keeps Getting Richer -- Chapter 9: Misinformation Spreading: Simulation on a Graph (Centrality, Networkx) -- Chapter 10: Simulated Annealing and Genetic Algorithm.
520 $a Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations. The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated. After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python. You will: Use Python and numerical computation to demonstrate the power of simulation Choose a paradigm to run a simulation Draw statistical insights from numerical experiments Know how simulation is used to solve real-world problems .
650 2 4 $a Programming Language. $3 1365750
650 2 4 $a Data Science. $3 1174436
650 1 4 $a Python. $3 1115944
650 0 $a Programming languages (Electronic computers). $3 1127615
650 0 $a Artificial intelligence—Data processing. $3 1366684
650 0 $a Python (Computer program language). $3 1127623
700 1 $a Nakano, Aiichiro. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1387877
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484281840
776 0 8 $i Printed edition: $z 9781484281864
776 0 8 $i Printed edition: $z 9781484291443
856 4 0 $u https://doi.org/10.1007/978-1-4842-8185-7
912 $a ZDB-2-CWD
912 $a ZDB-2-SXPC
950 $a Professional and Applied Computing (SpringerNature-12059)
950 $a Professional and Applied Computing (R0) (SpringerNature-43716)