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 Title: Modeling and Simulation in Python: Use Computation to Predict and Explain the World
 Author(s) Allen B. Downey
 Publisher: No Starch Press (April 2023); Green Tea Press; eBook (Creative Commons Licensed)
 License(s): CC BYNCSA 4.0
 Hardcover/Paperback: 264 pages
 eBook: PDF (247 pages) and Jupyter Notebooks
 Language: English
 ISBN10: 1718502168
 ISBN13: 9781718502161
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Book Description
This book is a thorough but easytofollow introduction to physical modeling—that is, the art of describing and simulating realworld 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 handson examples that show how to produce useful models and simulations.
Taking a computational approach makes it possible to work with more realistic models than what you typically see in a firstyear physics class, with the option to include features like friction and drag.
Python is an ideal programming language for this material. It is a good first language for people who have not programmed before, and it provides highlevel data structures that are wellsuited to express solutions to the problems we are interested in.
About the Authors Allen B. Downey is an American computer scientist, Professor of Computer Science at the Franklin W. Olin College of Engineering.
 Computational Simulations and Modeling
 Python Programming
 Numerical Analysis and Scientific Computing
 Mathematical and Computational Software
 Books by Allen B. Downey

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Computational Physics with Python (Eric Ayars)
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Physical Modeling in MATLAB (Allen B. Downey)
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Modelling and Simulation for Big Data Applications
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The Nature of Code: Simulating Natural Systems with Processing
A range of programming strategies and techniques behind computer simulations of natural systems, from elementary concepts in mathematics and physics to more advanced algorithms that enable sophisticated visual results, using Processing.

Mathematical Modeling of the Human Brain
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