Computational Physics: Problem Solving with Python

good

Fantastic book! Great explanations of challenging subjects, great code! I love the online lectures too !

I got through the first 100 pages, but gave up due to the sheer number of typos and errors. I also could not find an errata for this book anywhere. Definitely not worth the $80+ price. Would love to return this half-baked book and get my money back. It's amazing that this is the 3rd edition of the book, and it still is in this poor shape. Trust me, don't waste your money on this if you are looking for a computational physics book - the Newman book is pretty decent if you are looking for a solid intro.

If your are familiar with python and programming this book is suitable for you. If you are a beginner it is not a recommended one

This is a very detailed technical good great for anyone doing any physics modelling. The code is written in python and of course there are notes which describe what packages are needed. However it is all fairly clear and would be easy enough for anyone to "translate" the code into any other language and get it working - of course you would have to find the equivilent libraries in that language. The book assumes that you have no preknowledge o computing and programming, so takes you through that first. In all a very interesting book, great for the non-programmer who wants some interesting projects to learn wirh; or a programmer interested in phsyics modelling. Recommended

Luxe..

A competent and thorough walk-through for using Python in a computational physics context, primarily aimed at the under-grad sector of study and research. It starts with the basics making this an ideal introductory text for the uninitiated and develops an approach that is one of problem-solving above all else and you are armed with plenty of tools to do just that in a useful, and at times rather lively combo of computer science, physics and maths. Ideal also if you have an interest in computer modelling in an applied science context.

This undergraduate text is typical in design and layout for a Wiley science text. This is the third edition and has 623 pages in paperback binding and ends with a comprehensive bibliography and a good subject index. The book begins with an excellent contents section which gives a detailed breakdown of where to find everything. To understand Computational Physics, you have to understand some physics, some applied mathematics and some computer science- so this is a book for scientists and mathematicians! This new edition uses Python for the first time in its sample codes and has a wider survey of the state of computational physics. The authors have written this book with the view that all physicist should be able to code programmes themselves and understand other peoples. There is a lot of text but it is broken up by regular uses of formulae, tables, graphs, illustrations and coding. To the student interested in physics and programming this book is a veritable Aladdin's cave of interest as it systematically takes the reader deeper in the rabbit hole of computational physics. Someone who is not switched on by these concepts should not look at this book! It goes without saying that this is an expensive book, but you also get unfettered access to some great work which has cost a lot of money to present in this orderly fashion - whereas I think the price is regrettable (as I would love books to be free!), I also think it is sensible and offers real value. You will not read this book in one go, you will work through it in sequence, but when you do so it will enrich your approach to research, to the practical use of these techniques and enable you to produce work that will take science forward. This is a worthwhile text for anyone reading physics or physics with computer science.