A review is one perspective. Compare what readers say with the synopsis, publication details, and your own interests.
Try a topic plus an author, or use an ISBN for an edition. Need help choosing?
2507 books to explore · Review entries are shown where available.
ANOTHER PERSPECTIVE
From the review collection
Reader review5 / 5
The best book on this subject I have read
A superb guide. The examples are small but complete.
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 appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. I found myself making notes in the margins, which is always a good sign. I have already recommended it to two colleagues and will recommend it to more.
Oliver BennettEmbedded systems engineer · Rotterdam, NL
Excellent from start to finish. No filler, no padding.
There is a particular kind of technical book that is dense without being difficult, and this is one of them. The index and cross-references are surprisingly good, which matters for a book I will come back to. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. If you have the prerequisites, this is an easy recommendation. I will be keeping it on my desk rather than the shelf.
Better than I expected. Rare to find a technical book this well judged.
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. Some terminology is introduced without much ceremony; I had to look a few things up along the way. If you have the prerequisites, this is an easy recommendation. I will be keeping it on my desk rather than the shelf.
I got a lot out of this, even if a few sections felt rushed.
I bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. The author is unusually honest about where the simplifications break down, which I appreciated. 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. A good addition to a technical library, as long as you know what you are buying.
The clearest explanation of data visualization I have come across.
I had been on the fence about this one for a while, and I should have bought it sooner. I found myself making notes in the margins, which is always a good sign. The index and cross-references are surprisingly good, which matters for a book I will come back to. Some of the material is available elsewhere, but rarely presented this clearly. One of those books that pays for itself within the first few chapters. Highly recommended.
A genuinely enjoyable read that also taught me a great deal.
I picked this up after getting stuck on a project and it turned out to be exactly the right book at the right time. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. The progression from chapter to chapter is well thought out; nothing feels out of order. The chapters on game development are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. If you have the prerequisites, this is an easy recommendation. I will be keeping it on my desk rather than the shelf.