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Modeling and Simulation in Python (An Introduction for Scientists and Engineers)
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Product Details
Author:
Allen B. Downey
Format:
Paperback
Pages:
280
Publisher:
No Starch Press (May 30, 2023)
Language:
English
ISBN-13:
9781718502161
ISBN-10:
1718502168
Weight:
19.6oz
Dimensions:
7.88" x 9.19" x 0.69"
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260705T122656_156890395-20260705.xml
Folder:
RandomHouse
List Price:
$44.99
Case Pack:
25
As low as:
$34.64
Publisher Identifier:
P-RH
Discount Code:
A
QuickShip:
Yes
Audience:
General/trade
Country of Origin:
United States
Pub Discount:
65
Imprint:
No Starch Press
Overview
Modeling and Simulation in Python teaches readers how to analyze real-world scenarios using the Python programming language, requiring no more than a background in high school math.
Modeling and Simulation in Python is a thorough but easy-to-follow introduction to physical modeling—that is, the art of describing and simulating real-world systems. Readers are guided through modeling things like world population growth, infectious disease, bungee jumping, baseball flight trajectories, celestial mechanics, and more while simultaneously developing a strong understanding of fundamental programming concepts like loops, vectors, and functions.
Clear and concise, with a focus on learning by doing, the author spares the reader abstract, theoretical complexities and gets right to hands-on examples that show how to produce useful models and simulations.
Modeling and Simulation in Python is a thorough but easy-to-follow introduction to physical modeling—that is, the art of describing and simulating real-world systems. Readers are guided through modeling things like world population growth, infectious disease, bungee jumping, baseball flight trajectories, celestial mechanics, and more while simultaneously developing a strong understanding of fundamental programming concepts like loops, vectors, and functions.
Clear and concise, with a focus on learning by doing, the author spares the reader abstract, theoretical complexities and gets right to hands-on examples that show how to produce useful models and simulations.








