Python Data Science Handbook: Essential Tools for Working with Data

Very useful book. It was exactly what I was looking for.

Good

Covers all the essentials very clearly.

Through Chapter 11 so far and the Figures are frequently very wrong. There seem to be a couple other minor errors, but this desperately needs an update for the Kindle version. Content otherwise seems good so far, so hope this gets fixed. Update: Just after I entered this, the figures seem to have been updated. Checked 4 and all are fixed, so moved the rating up one and will update when through all chapters.

Excellent condition! Highly recommend this seller 10/10

A major section of this book is on data visualization, where it discusses how to set the color of data points, as well as how to make certain color gradients. Why then would the publisher choose to print these sections in black and white. Some of the figures are proved pointless as you can't even see what the author is trying to convey. Really disappointed with that section of this book.

Contents are great, but most figures do not correspond to the code for the Kindle edition.

Here we have a book with a bunch of color-coded plots, but the whole thing is printed in black and white. The content is good, but on the whole 2/10 would not recommend.

I really liked this book with the structured approach to introduction. All important topics are covered. There are some good tips. The chapter on classical machine learning covers all the important methods that can already be used in practice.

役に立つ情報がいっぱいあるから、お勧めです

Muito bem escrito, detalhado com exemplos práticos e completos! Perfeito

It’s a bit disappointment that a 70€ book doesn’t include graphs in color.

Material y ejercicios prácticos para implementar en python