Data Visualization+Blender/Scripting/Python All-in-One (Paperback)

Good book. The writing is direct and the author is honest about limits.

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 early chapters move quickly through material I already knew, but the later sections were genuinely new to me. Four stars, and I suspect a second edition could easily push it to five.

Excellent from start to finish. No filler, no padding.

A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. A couple of chapters felt like they could have been merged, but that is a minor complaint. The book rewards careful reading. Skimming it would be a mistake. I have already recommended it to two colleagues and will recommend it to more.

Mixed feelings. The good parts are genuinely good; the rest is forgettable.

This is the third book I have read on data visualization this year, and it is comfortably the best of them. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. Borrow it first if you can, or at least check the table of contents carefully before buying.