Reader reviews

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

A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. I particularly liked the way the author builds up from simple cases before introducing the harder material. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. Some terminology is introduced without much ceremony; I had to look a few things up along the way. Worth the money and the reading time, without hesitation.

Not quite what I expected from the description, but there is material here.

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 code samples assume a particular environment, which took a bit of fiddling to get running properly. The writing is direct and does not waste space on filler, which I value in a technical book. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. Fine, but there are stronger books on the same subject if you look around.

Hard to recommend. The examples assume too much and explain too little.

This is the third book I have read on webgpu this year, and it is comfortably the best of them. Some of the material is available elsewhere, but rarely presented this clearly. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. Two stars. The subject deserves a better treatment than this.

Almost excellent. A second edition could easily push it to five stars.

I was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. The code samples assume a particular environment, which took a bit of fiddling to get running properly. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. Four stars, and I suspect a second edition could easily push it to five.

The clearest explanation of webgpu I have come across.

I bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. Some of the material is available elsewhere, but rarely presented this clearly. The chapters on webgpu are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. I have already recommended it to two colleagues and will recommend it to more.

Good value. Not perfect, but I would buy another book from this author.

This is the third book I have read on mathematics this year, and it is comfortably the best of them. The index and cross-references are surprisingly good, which matters for a book I will come back to. Some terminology is introduced without much ceremony; I had to look a few things up along the way. A good addition to a technical library, as long as you know what you are buying.