[PDF / Epub] ✅ Computational Physics Por Mark Newman – Z55z.co

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. 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 An excellent book for introductory programming for physics students, yet a great addition to any physicist s personal library It does a really great job at presenting physics and the code involved possibly the most well presented in terms of code I ve read countless books where the code looks disorganised and, in some cases, riddled with errors bugs The book also encourages the reader to try examples throughout each chapter instead of lumping together a whole pile of chapter problems at the end of the chapter I cannot stress how convenient this style is,in that it prompts the reader to try push for a solution before reading on, and saves one from having to thumb back through the chapter for relevant equations.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 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. 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. 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 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.