READ IT. KEEP IT. COME BACK.

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

I came to this book already familiar with the basics, and it still had plenty to offer. The book rewards careful reading. Skimming it would be a mistake. 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. If you have the prerequisites, this is an easy recommendation. I will be keeping it on my desk rather than the shelf.

Strong content, uneven pacing. I would still recommend it.

I was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. The code samples assume a particular environment, which took a bit of fiddling to get running properly. I particularly liked the way the author builds up from simple cases before introducing the harder material. The chapters on artificial intelligence are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. A good addition to a technical library, as long as you know what you are buying.

Better than I expected. Rare to find a technical book this well judged.

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. There is a section near the end that ties several earlier ideas together in a way I had not seen before. A few of the examples could be more realistic, but the underlying points come across clearly. The chapters on webgpu are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. Worth the money and the reading time, without hesitation.