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Overview

Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python? This hands-on book is packed with practical cases studies that show you how to effectively solve a broad set of data analysis problems, using several Python libraries.

Subscriber Reviews

Average Rating: 4.333333333333333 out of 5 rating Based on 6 Ratings

"Excellent, Required Reading for Pandas" - by Anonymous on 12-FEB-2013
Reviewer Rating: 1 star rating2 star rating3 star rating4 star rating5 star rating
I was working on a project that needed some numerical analysis of data files and came to the Python 'Pandas' library.
I saw how powerful and useful it could be, but was having trouble understanding how to use it.  This book changed all that.
This is an excellent resource for Pandas, and numpy, data analysis; I keep it open and constantly refer back to it.
The writing is consice and stays on target, it is well organized and I (almost always) find what I'm looking for quickly.
Excellent reference and resource.

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"Outstanding Book!" - by jbrookshsv on 03-FEB-2013
Reviewer Rating: 1 star rating2 star rating3 star rating4 star rating5 star rating
Python for Data Analysis  is an outstanding book.  I'm a decades-long user of MATLAB and this book reveals the power of Python as an excellent  alternative to MATLAB.

Well writte with excellent examples.  

JWB

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"Highly Recommended" - by Anonymous on 13-NOV-2012
Reviewer Rating: 1 star rating2 star rating3 star rating4 star rating5 star rating
This book is practical, hands-on, and spot-on.  The chapter on iPython is worth the price alone.
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