- Paperback: 562 pages
- Publisher: CreateSpace Independent Publishing Platform (November 7, 2012)
- Language: English
- ISBN-10: 1480145513
- ISBN-13: 978-1480145511
- Product Dimensions: 7.4 x 1.3 x 9.7 inches
- Shipping Weight: 2.7 pounds (View shipping rates and policies)
- Average Customer Review: 30 customer reviews
- Amazon Best Sellers Rank: #92,810 in Books (See Top 100 in Books)
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Computational Physics Paperback – November 7, 2012
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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!
My only qualms about this book are that, while the concepts and problems are themselves challenging to the physics enthusiast, there is not enough material on stochastic methods, particularly with Markov Chain Monte Carlo, which is has fast become a staple technique in statistical analysis or modelling for any budding physics researcher; the idea of object oriented programming (python being itself object oriented) is completely cast aside which, I am told, is somewhat of a crime in the eyes of the python aficionado; and there seems to be no e-book version provided with the purchase - something that I would much rather prefer as it encourages one to code while reading it.
That being said, the book presents exactly what it promises: computational methods and concepts in physics, does so very neatly without insulting the reader's intelligence. I highly recommend this book to those only beginning python/programming and are enthusiastic about physics. It is a much more fun and challenging introduction to the language than the official Python tutorials and other textbooks that may focus on presenting you with rigorous overview of the Python language that can become boring and cumbersome.