Grow a question. Pick a good book.

Worth every page. I have already recommended it to two colleagues.

I picked this up after getting stuck on a project and it turned out to be exactly the right book at the right time. The progression from chapter to chapter is well thought out; nothing feels out of order. The author clearly knows the subject deeply and has thought hard about how to teach it. I particularly liked the way the author builds up from simple cases before introducing the harder material. Worth the money and the reading time, without hesitation.

Some sections were excellent and others felt like filler.

I bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. It is denser than the page count suggests, and I found myself slowing down around the middle. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. The author is unusually honest about where the simplifications break down, which I appreciated. Useful as a reference, less so as a straight read from cover to cover.

Mixed feelings. The good parts are genuinely good; the rest is forgettable.

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. The writing is direct and does not waste space on filler, which I value in a technical book. The progression from chapter to chapter is well thought out; nothing feels out of order. The chapters on ai & machine learning are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. Useful as a reference, less so as a straight read from cover to cover.