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

Allen B. Downey

ISBN 10: 1718502168 / ISBN 13: 9781718502161

Published by Random House LLC US, 2023

About this Item

Modeling and Simulation in Python | An Introduction for Scientists and Engineers | Allen B. Downey | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Random House LLC US | EAN 9781718502161 | Verantwortliche Person für die EU: Springer Fachmedien Wiesbaden GmbH, Postfach:15 46, 65189 Wiesbaden, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 120459314

Bibliographic Details

• Title: Modeling and Simulation in Python | An Introduction for Scientists and Engineers
• Publisher: Random House LLC US
• Publication Date: 2023
• Language: English
• ISBN 10: 1718502168
• ISBN 13: 9781718502161
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 180H x 22D millimeters 234 millimeters width by 180 millimeters height by 22 millimeters depth
• Weight: 535 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

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.