Numerical Methods in Physics with Python, 2/e (Paperback)

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.

將以上文字翻譯成繁體中文如下：

「結合慣用的Python程式設計、基礎數值方法和物理應用，這是一本理想的獨立教科書，適用於計算物理課程。書中詳細解釋了物理學中常用的數值方法，包括基礎技巧和一些隱藏的寶藏，例如線性代數、微分方程、根尋找、插值和積分等主題。這本介紹性教材的第二版新增了幾個新的程式碼和140個新問題（其中許多涉及物理應用），還新增了關於奇異值分解、無導數優化、貝葉斯線性回歸、神經網絡和偏微分方程的新章節。每章的最後一節是一個深入的項目，解決需要使用電腦才能解決的物理問題。本教科書主要針對學習計算物理的學生撰寫，讓非專業人士能夠迅速掌握Python，然後詳細研究該學科中常用的數值方法。」