The “Python Scripting for Computational Science (Texts in Computational Science and Engineering)” is an educational book for the intermediate Python programmers. Python Scripting for Computational Science is written by the author Hans Petter Langtangen. His book engages the reader from start to end of page and worth to read. Python Scripting for Computational Science is helpful for a wide range of programming issues, such as gluing together disparate legacy applications, interfacing to C++, regression testing numerical code, building GUI’s, web programming, and much more. Python Scripting for Computational Science is meant for people doing production computational science work in Python. Additionally, the author has inserted numerous examples of the screenshot and updated information that is very helpful for the readers. After reading this book, you will have the knowledge of how to develop flexible, and human efficient working environments built from small scripts. I would recommend this book if you use Python for scientific purposes. In short, Python Scripting for Computational Science is a necessary book if you use Python for scientific purposes.

Statistical Mechanics is the thermodynamics, mechanics, physics and mathematical physics book which describes the properties of statistical mechanics. A. J. Berlinsky and A. B. Harrisare the author of this impressive book. A. J. Berlinsky did his Ph.D. in 1972 from the University of Pennsylvania. He provided his services as a professor at the University of Amsterdam. Harris is also a PhD and he did his degree in 1962 from Harvard University. It is a comprehensive book that covers all the topics related to Statistical Mechanics. This book covers several chapters and all of them explained brilliantly. Statistical Mechanics is the branch of physics that deals with the principles and procedures of statics. The laws that are familiar to this term are related to quantum mechanics. It provides all the basic information related to the field of thermodynamics. This technique promised to deliver the measureable properties and it has everything that we need. Learn how energy is shared from one source to another and how it affects the laws of nature. What is basic source of energy that leads to development? Why statistical mechanics draw heavily on the law and how it affects the overall theory it thermal energy? A comprehensive book for graduate and undergraduate students which covers all the perspectives.

The “An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)” provides a fantastic introduction to the field. Gareth James, Daniela Witten, Trevor Hastie are the authors of this book. This book provides an excellent presentation and a very good compromise between statistics and data analysis. These experts come right and say which methods work best under which circumstances. While there are many fancy algorithms covered in the book, they highlight the advantages of the simpler ones. Emphasis on subjects that are not heavily addressed in most ML books.

“Mathematical Methods for Physics and Engineering: A Comprehensive Guide 3rd Edition” is an excellent book as a reference for mathematical concepts that are commonly employed within the sciences and engineering. K. F. Riley, M. P. Hobson and S. J. Bence are the authors of this impressive book. This is one of the best mathematical methods books. It has very clear explanations, in each topic it’s developing from basic intuitions until it reaches the generalized equations, several detailed examples help a reader checks his understanding and follows the authors. The contents are very well-organized and self-contained, one can looks directly at the topic he wants to know. It’s lucid and normally answers and teaches a reader what he wants to do. All definitions make sense and a reader can accept easily it’s a smart thing to do the math that way. It also serves as a one-stop, if you feel confused when you’re reading because your background knowledge is not strong enough, just search for the previous related topics, all brilliant explanations are waiting for you to grasp them, make you ready for what you need. Any undergrads and beginning grad students in Physics will find this book is great. This is an excellent example of how to write an approachable math methods book. One more great point is, this book contains a lot of real physical examples besides the math formulations, make a reader understands the topic deeply and sees a practical use. Finally, if you are looking for an in-depth analysis of these subjects after a course in mathematical methods and comfort in the mathematics of physics undergraduate, then this book is a comprehensive and good reference book for you.