A Student's Guide to Python for Physical Modeling
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A Student's Guide to Python for Physical Modeling by Jesse M Kinder
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. This tutorial focuses on fundamentals and introduces a wide range of useful techniques, including: * Basic Python programming and scripting* Numerical arrays* Two- and three-dimensional graphics* Monte Carlo simulations* Numerical methods, including solving ordinary differential equations* Image processing* Animation Numerous code samples and exercises--with solutions--illustrate new ideas as they are introduced. Web-based resources also accompany this guide and include code samples, data sets, and more.
"The text serves as an excellent stepping stone into the world of using Python in computational science for undergraduate students with a strong background in mathematics"--Kevin Thielen and Vivienne Tien, Computing in Science & Engineering "At a brief 160 pages, it is quite possible for a motivated student to complete it in just a few sittings... [A] fine introduction."--American Journal of Physics
Jesse M. Kinder is assistant professor of physics at the Oregon Institute of Technology. Philip Nelson is professor of physics at the University of Pennsylvania. He is the author of Biological Physics and Physical Models of Living Systems.
| SKU | Unavailable |
| ISBN 13 | 9780691170503 |
| ISBN 10 | 0691170509 |
| Title | A Student's Guide to Python for Physical Modeling |
| Author | Jesse M Kinder |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Princeton University Press |
| Year published | 2015-09-22 |
| Number of pages | 160 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |