Reader reviews

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

There is a particular kind of technical book that is dense without being difficult, and this is one of them. Some of the material is available elsewhere, but rarely presented this clearly. I found myself making notes in the margins, which is always a good sign. Four stars, and I suspect a second edition could easily push it to five.

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

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The author clearly knows the subject deeply and has thought hard about how to teach it. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. The code samples assume a particular environment, which took a bit of fiddling to get running properly. If you have the prerequisites, this is an easy recommendation. I will be keeping it on my desk rather than the shelf.

Well worth picking up if you already have the basics.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The balance between theory and practice is well judged; neither side dominates. The code samples assume a particular environment, which took a bit of fiddling to get running properly. The author clearly knows the subject deeply and has thought hard about how to teach it. Four stars, and I suspect a second edition could easily push it to five.

The clearest explanation of data visualization I have come across.

This is the third book I have read on data visualization this year, and it is comfortably the best of them. Some of the material is available elsewhere, but rarely presented this clearly. It is denser than the page count suggests, and I found myself slowing down around the middle. I have already recommended it to two colleagues and will recommend it to more.

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

There is a particular kind of technical book that is dense without being difficult, and this is one of them. I particularly liked the way the author builds up from simple cases before introducing the harder material. The writing is direct and does not waste space on filler, which I value in a technical book. It is denser than the page count suggests, and I found myself slowing down around the middle. I have already recommended it to two colleagues and will recommend it to more.

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

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. The writing is direct and does not waste space on filler, which I value in a technical book. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. Worth the money and the reading time, without hesitation.