Data Mining in 20 Minutes Coffee Book Series

Almost excellent. A second edition could easily push it to five stars.

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 explanations are careful without being condescending, which is a difficult balance to strike. The balance between theory and practice is well judged; neither side dominates. Four stars, and I suspect a second edition could easily push it to five.

Worth every page. I have already recommended it to two colleagues.

A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. The code samples assume a particular environment, which took a bit of fiddling to get running properly. The chapters on javascript are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. Worth the money and the reading time, without hesitation.

Not quite what I expected from the description, but there is material here.

This is the third book I have read on javascript this year, and it is comfortably the best of them. The early chapters move quickly through material I already knew, but the later sections were genuinely new to me. 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. Fine, but there are stronger books on the same subject if you look around.