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Customers say
Customers find this Python data science book to be an excellent reference guide that provides comprehensive data analysis coverage and is simple to use. They appreciate its well-written content and depth of coverage, with one customer noting it provides a good overview of standard libraries. However, the book is printed in black and white, which some customers find disappointing, and one customer mentions it reads like a copy of reference documents.
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55 customers mention content, 42 positive, 13 negative
28 customers mention reference, 23 positive, 5 negative
The book is a good reference book for data analytics and data science tasksRead more
Jake Vanderplas is a wealth of information (if you are coming to Python from another language, check out his Whirlwind Tour of Python)....Read more
...There are plenty of high quality and relevant examples.Read more
This book is an amazing resource for learning, implementing, and teaching Data Science....Read more
10 customers mention ease of use, 7 positive, 3 negative
Well written, Easy to Follow, Adopts Python 3.Read more
...The book is written with Jupyter Notebooks so it is easy to follow along and try code from the book in your own notebook.Read more
...However, it is a little bit easy and lack of practical cases.Read more
Just start reading, it is easy and simple to use. Will write or write an update once more.Read more
7 customers mention writing quality, 6 positive, 1 negative
Well written, Easy to Follow, Adopts Python 3.Read more
Well written book. Poorly constructed. Absolutely no way you'll be able to lay this book even remotely flat open without it falling apartRead more
...The book is written with Jupyter Notebooks so it is easy to follow along and try code from the book in your own notebook.Read more
Well-written and very helpfulRead more
5 customers mention depth of coverage, 4 positive, 1 negative
...This is no-nonsense book and goes deep into stuff which are relevant and important to do data science in python, every page is rich in information...Read more
...The author does an excellent job covering broad terrain with enough detail that you are able to apply it to your problems....Read more
...on data science related capabilities in Python, including great coverage of NumPy, Pandas, etc. 2....Read more
...Even though it does not go into super great depth in any area, it is definitely a super book....Read more
7 customers mention black and white printing, 0 positive, 7 negative
...this color book was printed in black and white, rendering many of the illustrations useless....Read more
...book is great, however the 4 star rating is due to their being no color images.Read more
...Everything is black and white. There are plots with different colors and since this book is grayscale, plots look nonsense to me....Read more
The figures were generated in color, but printed black and white, so they are often unintelligible....Read more
5 customers mention readability, 1 positive, 4 negative
...generated in color, but printed black and white, so they are often unintelligible....Read more
...I am 70 pages into this thing and feel like I'm reading a dictionary. Code is introduced with no clear explanation of how things work....Read more
...with a view or a copy of a dataframe and a lot of it reads like a copy of the reference docs. In the end I spent more time googling....Read more
..."Python for Data Analysis " but because it uses Jupyter it's easy on the eyes to read....Read more
