Modeling And Simulation In Python

Modeling And Simulation In Python
Allen Downey
RRP:
NZ$ 120.00
Our Price:
NZ$ 96.00
Paperback
h234 x 177mm - 260pg
16 Aug 2022 US
International import eta 7-19 days
9781718502161
Out Of Stock
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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.
"Modeling and Simulation in Python is an introduction to physical modeling using a computational approach . . . 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 Kitchen
Allen B. Downey is a Boston-area professor of Computer Science at Olin College and the author of a series of open-source textbooks related to software and data science, including Think Python, Think Bayes, and Think Complexity. His blog, "Probably Overthinking It," features articles on Bayesian probability and statistics. Downey holds a Ph. D in computer science from U. C. Berkeley, and M. S. and B. S. degrees from MIT.

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