QuickStart Guide to (Ultra-)High Performance Visualizations

I have read a lot of books on this subject and this is the clearest.

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 book rewards careful reading. Skimming it would be a mistake. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. The explanations are careful without being condescending, which is a difficult balance to strike. I have already recommended it to two colleagues and will recommend it to more.

A worthwhile addition to my shelf, with realistic expectations.

I had been on the fence about this one for a while, and I should have bought it sooner. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. The explanations are careful without being condescending, which is a difficult balance to strike. Some terminology is introduced without much ceremony; I had to look a few things up along the way. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.

A useful guide. The examples assume a particular environment, but that is fixable.

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 progression from chapter to chapter is well thought out; nothing feels out of order. The explanations are careful without being condescending, which is a difficult balance to strike. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. Four stars, and I suspect a second edition could easily push it to five.