Modeling and Simulation in Python by Downey, Allen B.

Modeling and Simulation in Python: An Introduction for Scientists and Engineers (Paperback) (ISBN-13: 9781718502161)

Vendor: Allen B. Downey
Product type: Books
Format: Paperback
$39.99
$39.99
$39.99
Subtotal: $39.99
Modeling and Simulation in Python by Downey, Allen B.

Modeling and Simulation in Python: An Introduction for Scientists and Engineers

$39.99
Modeling and Simulation in Python by Downey, Allen B.

Modeling and Simulation in Python: An Introduction for Scientists and Engineers

$39.99
Format: Paperback
Description
Description
x
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.

Author: Allen B. Downey
ISBN-10: 1718502168
ISBN-13: 9781718502161
Publisher: No Starch Press
Language: English
Published: 05/30/2023
Pages: 280
Format: Paperback
Weight: 1.19lbs
Size: 9.13h x 7.09w x 0.79d
By Allen B. Downey
By Allen B. Downey
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Allen Downey is a Staff Scientist at DrivenData and Professor Emeritus at Olin College, where he taught Modeling and Simulation and other classes related to software and data science. He is the author of several textbooks, including Think Python, Think Bayes, and Elements of Data Science. Previously, he taught at Wellesley College and Colby College. He received his Ph.D. in computer science from the University of California, Berkeley in 1997. His undergraduate and master's degrees are from the Civil Engineering department at MIT. He is the author of Probably Overthinking It, a blog about data science and Bayesian statistics.

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