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I have used R for a few years and this was my first book that covered Python for data science. Even though it does not go into super great depth in any area, it is definitely a super book. It covers everything from Pandas, Matplotlib, and scikit-learn. I would highly recommend it for anyone that is new to Python and/or data science. The book is written with Jupyter Notebooks so it is easy to follow along and try code from the book in your own notebook.
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Customers say
Customers find the book an excellent reference for data science, particularly for machine learning, and appreciate its easy-to-follow content and well-written style. The color printing receives mixed feedback, with one customer noting the figures are generated in color while others mention it's printed in black and white. While customers find the book extremely handy, some point out the lack of practical cases, and opinions on readability are divided.
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41 customers mention informative, 34 positive, 7 negative
...The chapter provides a good overview of the scikit-learn API and effective patterns for machine learning problems.Read more
...the book is excellent and the contents are excellent, a great course with thorough and useful detail. but amazon's print of it is cheap and lazy.Read more
Good book overall. Pretty high level material and good for reference.Read more
Great for Learning.Read more
35 customers mention content, 26 positive, 9 negative
10 customers mention ease of use, 7 positive, 3 negative
Well written, Easy to Follow, Adopts Python 3.Read more
...each chapter with well-designed examples that are easy to follow and understand....Read more
...However, it is a little bit easy and lack of practical cases.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
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
...It covers everything from Pandas, Matplotlib, and scikit-learn. I would highly recommend it for anyone that is new to Python and/or data science....Read more
Well-written and very helpfulRead more
6 customers mention color printing, 2 positive, 4 negative
...book is great, however the 4 star rating is due to their being no color images.Read more
The figures were generated in color, but printed black and white, so they are often unintelligible....Read more
...this color book was printed in black and white, rendering many of the illustrations useless....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
5 customers mention practicality, 3 positive, 2 negative
I mean, it is extremely useful when it comes to access and undesrtandig basic python functions and librariesRead more
...However, it is a little bit easy and lack of practical cases.Read more
...science in python, every page is rich in information and provides practical use case, optimization tricks and adds new dimensions to your...Read more
Not a particularly useful book for someone not familiar with Python. The Index of the book is not helpful at all and needs A LOT of improvement.Read more
5 customers mention readability, 2 positive, 3 negative
...generated in color, but printed black and white, so they are often unintelligible....Read more
..."Python for Data Analysis " but because it uses Jupyter it's easy on the eyes to read....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
...I found this one to be the most complete and concise of the lot. There are plenty of high quality and relevant examples.Read more
Intermediate book for reading.
Not as easy or straightforward as "Python for Data Analysis " but because it uses Jupyter it's easy on the eyes to read. Highly recommend going to Staples or Office Max and getting the book spiral bound.
Top reviews from the United States
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- Reviewed in the United States on June 9, 2017
- Reviewed in the United States on June 4, 2017
- Reviewed in the United States on January 11, 2019
- Reviewed in the United States on June 25, 2019
- Reviewed in the United States on September 6, 2021Format: PaperbackVerified Purchase
Not as easy or straightforward as "Python for Data Analysis " but because it uses Jupyter it's easy on the eyes to read. Highly recommend going to Staples or Office Max and getting the book spiral bound.
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Top reviews from other countries
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Paul KinsvaterReviewed in Germany on March 4, 2017
Perfekt für Statistiker mit wenig Computer Science-Background
Format: PaperbackVerified Purchase - Guillermo Martinez DibeneReviewed in Canada on November 23, 2020
Very useful
Format: PaperbackVerified Purchase -
Amazon CustomerReviewed in France on October 24, 2017
disappointed
Format: PaperbackVerified Purchase - Glen HardinghamReviewed in Australia on September 17, 2018
Awesome
Format: PaperbackVerified Purchase -
Ana Isabel Bezerra CavalcantiReviewed in Brazil on October 15, 2020
Importante, principalmente para pesquisas futuras.
Format: PaperbackVerified Purchase
