Nonlinear Optics: a student's perspective: With python problems and examples Paperback – 18 August 2017

This seems to be a short version of Prof. Boyd's classical textbook "Nonlinear Optics". However, it provides deeper understanding and explanation of lots of concepts. To my opinion, this is better than Boyd's book in terms of the topics this book covers although Boyd's book have more topics. However, if you are a novice and want to step into this field, I would recommend this book as the first book to read. Also the price is pretty good.

Coming from a chemical background, tge basics of nonlinear optics are often hard to understand given the math-heavy explanations. While the mathimatical background of the topic is covered, the author tries to also give a qualitative approach.

My PhD research was in quantum optics and, while this book is pretty light on detail, I can appreciate that it is meant for those new to the subject. Unfortunately, there's no way to avoid the complex mathematics that underlie nonlinear optics if you want to derive your own relationships (or avoid using the whole host of approximations that authors usually use to illustrate the simplest cases). The Python code is appreciated for such a niche subject. This is a decent overview but other books like Midwinter & Zernike or Boyd are more complete.