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Computational Physics, by Mark Newman
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A complete introduction to the field of computational physics, with examples and exercises in the Python programming language. Computers play a central role in virtually every major physics discovery today, from astrophysics and particle physics to biophysics and condensed matter. This book explains the fundamentals of computational physics and describes in simple terms the techniques that every physicist should know, such as finite difference methods, numerical quadrature, and the fast Fourier transform. The book offers a complete introduction to the topic at the undergraduate level, and is also suitable for the advanced student or researcher who wants to learn the foundational elements of this important field.
- Sales Rank: #183382 in Books
- Brand: Brand: CreateSpace Independent Publishing Platform
- Published on: 2012-11-07
- Original language: English
- Number of items: 1
- Dimensions: 9.69" h x 1.27" w x 7.44" l, 2.00 pounds
- Binding: Paperback
- 562 pages
- Used Book in Good Condition
Most helpful customer reviews
8 of 8 people found the following review helpful.
Python language for physicists
By M. Babiuc
This book teaches Python with examples from physics. I think it is the only python book specifically targeted to physics majors and physicists. The author actually makes available for free a big part the book, but if you need all of it, the best thing is to just purchase it.
5 of 5 people found the following review helpful.
Great Book
By Alex
This book is very well written and helpful. There are many examples throughout the book, and explanations are complete yet concise. The progression through topics is intuitive. It is very helpful that the author has a set of online supplemental materials available (eg sample code). Concepts are taught so that they can be applied to other programming languages with ease.
2 of 2 people found the following review helpful.
Great on Physics, light on Python
By Wes Bailey
I absolutely love the physics in this book and it does a great job presenting a lot of the python concepts you will need to do amazing things. My only gripe is that it completely blows off object oriented principles and their benefits which is a crime. You will want to learn more about OO for larger scale and maintainable applications as you do more. Aside from that it is very well written and a pleasure to read and work with.
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