Modeling and Simulation in Python: An Introduction for Scientists and Engineers (Paperback)
暫譯: Python中的建模與模擬：科學家與工程師的入門指南（平裝本）

Downey, Allen B.

Modeling and Simulation in Python: An Introduction for Scientists and Engineers (Paperback)
  • 出版商: No Starch Press
  • 出版日期: 2023-05-30
  • 定價: $1,500
  • 售價: 8.8 折 $1,320 (限時優惠至 2025-03-31)
  • 語言: 英文
  • 頁數: 280
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1718502168
  • ISBN-13: 9781718502161
  • 相關分類: Python、程式語言

    • 立即出貨 (庫存=1)

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商品描述

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.

商品描述(中文翻譯)

《Python中的建模與模擬》教導讀者如何使用Python程式語言分析現實世界的情境，所需的背景知識不超過高中數學。

《Python中的建模與模擬》是一本徹底但易於理解的物理建模入門書籍——即描述和模擬現實世界系統的藝術。讀者將學習如何建模如世界人口增長、傳染病、蹦極跳、棒球飛行軌跡、天體力學等現象，同時深入理解基本的程式設計概念，如迴圈、向量和函數。

這本書清晰簡潔，專注於實作學習，作者避免了抽象的理論複雜性，直接提供實際範例，展示如何產生有用的模型和模擬。

作者簡介

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.

作者簡介(中文翻譯)

艾倫·道尼（Allen Downey）是DrivenData的資深科學家及奧林學院（Olin College）的名譽教授，他在該校教授建模與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。他曾在威爾斯利學院（Wellesley College）和科爾比學院（Colby College）任教。他於1997年在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（MIT）的土木工程系獲得本科和碩士學位。他還是Probably Overthinking It的作者，這是一個關於數據科學和貝葉斯統計的部落格。

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