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

Brand: Allen B. Downey

(38 votes)

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

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PRODUCT FEATURES

Product Specifications

Publisher: No Starch Press (May 30, 2023)
Language: English
Paperback: 280 pages
ISBN-10: 1718502168
ISBN-13: 978-1718502161
Item Weight: 2.31 pounds
Dimensions: 6.88 x 0.59 x 9.13 inches
Best Sellers Rank: #440,719 in Books (See Top 100 in Books) #181 in Data Modeling & Design (Books) #232 in Computer Programming Languages #434 in Python Programming
Customer Reviews: 4.5 out of 5 stars 29Reviews

Product Information

From the Publisher

'Impressive'

“An impressive introduction to physical modeling and Python programming, featuring clear, concise explanations and examples. . . . perfect for readers of any level.”

—Christian Mayer, Author of Python One-Liners (No Starch Press) and Founder of the Coding Academy Finxter.com

'Context-rich and motivating'

“Downey’s top-down approach, context-rich and motivating, dramatically lowers the barrier to gaining literacy in programming and explicitly and insightfully teaches modeling. . . . I’m grateful for this book.”

—Phat Vu, Director of the Science & Mathematics Program, Soka University of America

'Valuable'

“Provides a wealth of instructive examples of all kinds of modeling. . . . a valuable textbook for classes on scientific computation or guide to exploration for interested amateurs.”

—Bradford Tuckfield, Author of Dive into Algorithms and Dive Into Data Science (No Starch Press)

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.

About the Publisher

No Starch Press has published the finest in geek entertainment since 1994, creating both timely and timeless titles like Python Crash Course, Python for Kids, How Linux Works,and Hacking: The Art of Exploitation. An independent, San Francisco-based publishing company, No Starch Press focuses on a curated list of well-crafted books that make a difference. They publish on many topics, including computer programming, cybersecurity, operating systems, and LEGO. The titles have personality, the authors are passionate experts, and all the content goes through extensive editorial and technical reviews. Long known for its fun, fearless approach to technology, No Starch Press has earned wide support from STEM enthusiasts worldwide.

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