Modeling and Simulation in Python: An Introduction for Scientists and Engineers (Paperback)

「Python 模型與模擬」教讀者如何使用 Python 程式語言分析真實世界的情境，只需要具備高中數學的基礎。本書是一本詳盡但易於理解的物理模型入門指南，即描述和模擬真實世界系統的藝術。讀者將在模擬世界人口增長、傳染病、蹦極、棒球飛行軌跡、天體力學等方面進行建模，同時深入了解迴圈、向量和函數等基本程式設計概念。本書以學習為導向，清晰簡潔，作者避免了抽象的理論複雜性，直接提供實用模型和模擬的實例。

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.

Allen Downey是DrivenData的一名高級科學家，也是Olin College的名譽教授。他在Olin College教授建模和模擬以及其他與軟體和數據科學相關的課程。他是幾本教科書的作者，包括《Think Python》、《Think Bayes》和《Elements of Data Science》。在此之前，他曾在Wellesley College和Colby College任教。他於1997年從加州大學伯克利分校獲得計算機科學博士學位，並在麻省理工學院土木工程系獲得學士和碩士學位。他還是一個關於數據科學和貝葉斯統計的博客《Probably Overthinking It》的作者。