• 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 BY-NC-SA 4.0
• Hardcover/Paperback: 264 pages
• eBook: PDF (247 pages) and Jupyter Notebooks
• Language: English
• ISBN-10: 1718502168
• ISBN-13: 978-1718502161
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Book Description

This book 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.

Taking a computational approach makes it possible to work with more realistic models than what you typically see in a first-year 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 high-level data structures that are well-suited to express solutions to the problems we are interested in.

• Allen B. Downey is an American computer scientist, Professor of Computer Science at the Franklin W. Olin College of Engineering.

• Amazon

• Computational Simulations and Modeling
• Python Programming
• Numerical Analysis and Scientific Computing
• Mathematical and Computational Software
• Books by Allen B. Downey

• Modeling and Simulation in Python: Use Computation to Predict and Explain the World
• PDF Format
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