Reader reviews

Finally, a book that treats webgpu with the care it deserves.

I had been on the fence about this one for a while, and I should have bought it sooner. Some of the material is available elsewhere, but rarely presented this clearly. A couple of chapters felt like they could have been merged, but that is a minor complaint. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. One of those books that pays for itself within the first few chapters. Highly recommended.

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

I bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. 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 exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. I have already recommended it to two colleagues and will recommend it to more.

Good in places. I would borrow it before buying if you can.

I had been on the fence about this one for a while, and I should have bought it sooner. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. The explanations are careful without being condescending, which is a difficult balance to strike. The progression from chapter to chapter is well thought out; nothing feels out of order. Useful as a reference, less so as a straight read from cover to cover.

Finally, a book that treats data visualization with the care it deserves.

I came to this book already familiar with the basics, and it still had plenty to offer. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. The book rewards careful reading. Skimming it would be a mistake. This is the book I wish had existed when I started working with data visualization.

A genuinely enjoyable read that also taught me a great deal.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. The writing is direct and does not waste space on filler, which I value in a technical book. Some of the material is available elsewhere, but rarely presented this clearly. I have already recommended it to two colleagues and will recommend it to more.

Not for me. The pacing did not work and I struggled to finish it.

I picked this up after getting stuck on a project and it turned out to be exactly the right book at the right time. A few of the examples could be more realistic, but the underlying points come across clearly. There is a section near the end that ties several earlier ideas together in a way I had not seen before. Two stars. The subject deserves a better treatment than this.