Although I had this book as part of a reading list for a graduate level course on algorithmic trading, I found the subject-matter/context enjoyable enough to read through in it's entirety. To be sure, this is by no means an "exhaustive" nor an "authoritative" text on the subject matter of hedge-funds. However, the author did not intend this text to serve this case. Instead, the book serves as a nice clean , and quick introduction to the world of trading, with an especial focus on the mechanics of trading, such that a technical individual (say a computer scientist) could start to build tools, write algorithms, and construct simulations in the subject-matter with some context and purpose.
In this view, the book's organization is simple enough, provide background to an area (say portfolio construction, order-books, arbitrage, etc.), so that the step-wise process of the thing is understood. Then, presumably the computer scientist can then recreate that thing in computer environment and execute it. Very much like a basic CS/math problem. The book also covers other topics relevant "standard" topics in active-management funds, including valuations, EMH, and the law of active portfolio management. None of these topics are covered in any real depth (say a few pages each). Yet, enough of the notion is provided for one to read further (or stop if their purpose is to just get the essentials).
For my course, more focus was put on the algorithms themselves, and learning the structure of them, so we had a separate standard text on machine learning as reference. However, I appreciate this book for what it is. The one thing that people should know is it's a bit dated circa 2013-14, being published right before Michael Lewis published his famous book "Flash Boys" on frontloading with strategic locations for fiber-networks, and that topic is very briefly covered in the last few pages of the text. Perhaps an updated version would be appropriate.
All in all, I would recommend this as a light-reference to a course, either for computing or technical domain person who wants to learn more about finance and/or trading.