Jesse M. Kinder earned his PhD in physics and astronomy at the University of Pennsylvania, completed a postdoctoral fellowship in quantum chemistry at Cornell University, and taught physics at Case Western Reserve University. He currently works as a consultant in Rio Rancho, New Mexico.
Philip Nelson is professor of physics at the University of Pennsylvania. He is the author of Biological Physics and Physical Models of Living Systems.
Python is a computer programming language that is rapidly gaining popularity throughout the sciences. A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed.
評分
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4.5/13,很基礎,Python占瞭2/3,包括numpy,plot,scipy
评分4.5/13,很基礎,Python占瞭2/3,包括numpy,plot,scipy
评分4.5/13,很基礎,Python占瞭2/3,包括numpy,plot,scipy
评分把python當Matlab基礎介紹的書籍。正文部分主要介紹瞭scipy numpy和pyplot,對應算法庫 函數庫和畫圖庫,不涉及任何oop和高級語法知識。配有lab和小練習。適閤工程科學的課程,which always use matlab:)…
评分挺不錯的,現在做物理用Python是越來越多瞭。
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