Nonlinear Optics: a student's perspective: With python problems and examples

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.

Kuzyk provides a comprehensive introduction to nonlinear optics similar to what one would find in  Nonlinear Optics, Third Edition  but with a more conversational engagement born out of the early versions of this book being transcribed by the students taking this course. In subject matter, many nonlinear optical phenomena are described from a fundamental perspective, often focusing on the microscopic origination of the nonlinear response and the nonlinear wave equation. Many of the exercises involve simple computations done in Python which are accessible for the novice looking for independent instruction. Beyond the unbeatable price-point, the real value is the collection of unique approaches to fundamental problems which will provide a deeper grasp of the content to both a student or an instructor looking to utilize this text.

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.

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.