Computational Physics

by Mark Newman (Author)

148 ratings

ISBN-13: 978-1480145511

ISBN-10: 1480145513

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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.

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Product details

Publisher ‏ : ‎ CreateSpace Independent Publishing Platform (November 7, 2012)
Language ‏ : ‎ English
Paperback ‏ : ‎ 561 pages
ISBN-10 ‏ : ‎ 1480145513
ISBN-13 ‏ : ‎ 978-1480145511
Item Weight ‏ : ‎ 2.18 pounds
Dimensions ‏ : ‎ 7.44 x 1.27 x 9.69 inches

Best Sellers Rank: #264,740 in Books (See Top 100 in Books)
- #128 in Mathematical Physics (Books)
- #289 in Physics (Books)

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148 ratings

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5 star		79%
4 star		13%
3 star		2%
2 star		3%
1 star		2%

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Chris

It gives a very good introduction to the Python language and how to apply ...

Reviewed in the United States on December 17, 2016

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This is an incredible book for a first timer. It gives a very good introduction to the Python language and how to apply aspects of it to solving Physics problems.

There are a few minor issues with the book (Not worth rating it lower than 5 stars). Dr. Newman will introduce libraries and not explain some of them, such as gaussxw. These are usually libraries and functions on the book website. However, there is no reference to it in the book when introduced. Minor oversite. Another issue is that there are parts of the book where it appears he didn't pay attention to which values he was using.

These are types of issues that I am sure will be fixed in later editions. Overall this is an incredible book. I picked up this book to see what it had to say. It has taught me things that I did not know. I love that!

12 people found this helpful

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Nate Pierce

Great Introduction

Reviewed in the United States on January 29, 2022

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I studied computer science and physics at university, and I'm happy to say this is an excellent text if you're interested in learning about one interesting cross-disciplinary intersection between the two. The book uses Python 3, and most of the sample code uses non-deprecated dependencies (most of the expired packages are in matplotlib).

I found it guided me along just well enough so that I could complete most exercises without any high level of hand holding (some of the exercises can be done as mild alterations to the examples). While there are plenty of scientific computing packages out there that will do almost all of the behind-the-scenes heavy lifting for you, this book isn't about using them -- instead, it dives deep into the numerical computing methods often used by those same packages.

There's plenty of example programs to step you through the exercises. Also, if you have very little programming experience, the first chapter is committed to getting you caught up to speed, but if I'd have to recommend having at least some experience with programming before tackling this (a single introductory uni course, or some time with self-instruction learning python or some other language should be enough).

Topics include Visualization, Accuracy and Speed, Integrals and Derivatives, Solving Linear/Non-Linear Equations, Fourier Transforms, ODEs, PDEs, and Monte Carlo/Random Methods.

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Felix Klein

Excellent introduction to Python for science

Reviewed in the United States on January 7, 2016

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I am a mathematician with some basic programing experience and I was interested in learning Python mostly for mathematical and educational purposes. I consulted many Python books, but I find myself returning over and over again to Chapters 2 and 3 of this book. If you are new to Python and you are interested in scientific applications this is in my view the best place to start.

12 people found this helpful

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Jennifer L.

Half Python, half pure math, so work the problems to learn the physics

Reviewed in the United States on March 8, 2018

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I like this book, but the physics is largely in the problems and not so much the text. The text is mostly organized by the features of the Python programming language (first four chapters) and then the pure mathematical concepts that are clearly programmable (chapters 5-10) rather than on the topics in physics to which they apply. There are some neat concepts in physics I did not know before reading the book (like the Madelung constant) but I am glad this professor from U. Mich. decided to write down some computational science concepts from physics given all the other attention on computational biology and chemistry.

2 people found this helpful

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Space Cadet

Just buy it now

Reviewed in the United States on March 9, 2015

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I'm a novice Python programmer, but yet I find this book very accessible, well-structured, clearly written, and comprehensive. I am only about halfway through this book but feel that it has really helped me learn both Python programming and solid numerical analysis skills. My only warning is that without a strong physics background the examples and problems may be a bit opaque, but with a strong physics background this book does an excellent job of connecting the physics with computational techniques.

8 people found this helpful

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joshua townsend

Good intro

Reviewed in the United States on August 30, 2015

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Great text that covers essential concepts such as derivatives, integrals, ODES, PDE's. What I enjoy about this text is that it focuses on generalities and therefore has been of great use to me in writing algorithms for my own research. Would highly recommend to those folks who want to explore computational/physical/mathematical research/projects.

4 people found this helpful

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YYhian

pages fall off

Reviewed in the United States on September 19, 2019

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what happened? there are several pages inside just fall off? the book itself is great for a python learner as my lecture advisor said. I like it. However, the quality makes me... what is going on? Just keep pages together, please.

3 people found this helpful

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Mauricio Mendivelso V

Great book

Reviewed in the United States on August 3, 2016

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As Eric Ayars said, there are a lot of good books about Python, a bunch of good books about computational physics but we gota lack of book about comp. phys. using Python 3. That's the one and it's a real good one. I got only a suggestion: more practical exercises but, you know, if you buy this book you've advanced in this subject a lot of the road probably...

2 people found this helpful

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Viktoria Noel

Good quality book & comprehensible explanations

Reviewed in the United Kingdom on October 4, 2018

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It’s a very good introduction for a beginner in computing and python is a very useful language

Niels

Classic reading

Reviewed in the United Kingdom on January 12, 2016

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An absolute classic for anyone who wish to explore programming for application in physics.

Lomaharshana

Very useful, modern introduction to Computational Physics

Reviewed in India on May 23, 2020

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This is a very clearly written introduction to computational physics. It includes such modern topics as Fourier Analysis and Random Numbers, which are typically absent from computational physics books, without sacrificing the discussion on traditional topics such as linear algebra and differential equations.

The tone of the text is that of a friendly teacher. Very often, computational physics textbook get drowned with unnecessary and dry discussion on algorithms and errors. Newman realises that while such discussion is important it can also unnecessarily repel the new student. Unnecessarily, because we now live in an age where Python and Numpy have made computational physics a joy instead of a chore.

Newman embraces the Python programming language. He describes each concept with a small Python implementation. He also discusses library functions available in the Python standard library and in Numpy or Scipy. There is useful discussion on how to use Python and how to install it on your computer.

There are not many but very useful and elaborate exercise problems.

Do not be worried that this book is self-published. I highly recommend it for college students for their self-study. This book and a laptop with Python installed is a perfect set-up for any student to master computational physics. I also used this book recently in a course I gave to PhD students to good effect.

2 people found this helpful

Robert

Received with poor protection

Reviewed in Canada on January 23, 2021

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The book itself looks very resourceful and good for academic and professional purposes. The only thing is that it was received with a big fold. This is probably due to the poor protection of the type of envelope used to send it. Since this is a book that I will be using my whole life, this greatly shortens the lifespan of this book. This is why I gave 1 star.

One person found this helpful

Gabriel Antonius

Great teaching resource

Reviewed in Canada on November 23, 2019

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Very well written. Lots of exercices, problems, and digital resources. However, the visual tools used in the book are outdated, and it doesn't use matplotlib. The book uses python3, but the focus is not so much about proper coding.
It does covers all the important topics in computational physics, and is thus a wonderful resource for teaching.

3 people found this helpful

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