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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 (October 2022); Green Tea Press (2017); 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: N/A
- ISBN-13: 978-1718502161
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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.
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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