

Python Data Science Handbook: Essential Tools for Working with Data [VanderPlas, Jake] on desertcart.com. *FREE* shipping on qualifying offers. Python Data Science Handbook: Essential Tools for Working with Data Review: Amazing book! - I love every chapter. It has raised my abilities in using data science, allowing me to demystify data more thoroughly! Review: Awesome Book - Very useful book. It was exactly what I was looking for.















| Best Sellers Rank | #98,483 in Books ( See Top 100 in Books ) #11 in Data Modeling & Design (Books) #46 in Python Programming #72 in Software Development (Books) |
| Customer Reviews | 4.5 out of 5 stars 101 Reviews |
A**R
Amazing book!
I love every chapter. It has raised my abilities in using data science, allowing me to demystify data more thoroughly!
D**E
Awesome Book
Very useful book. It was exactly what I was looking for.
J**J
Just what I was looking for
Good
D**H
Figures are wrong in the Kindle version
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.
R**H
The best python data science book.
Covers all the essentials very clearly.
P**R
Amazing quality!
Excellent condition! Highly recommend this seller 10/10
G**J
Too many graphs don't match with the content
I bought a kindle version of this book. The explanation is good. However, graphs that are not related to the content come up so often, so I have to run all the code in the book or go to the author's github page to see the graphs. It's quite inconvenient. I think the kindle version should be updated for this issue.
A**W
Why in black and white!?
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.
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