Python Data Analysis

· Packt Publishing Ltd
4.2
6 reviews
eBook
348
Pages
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About this eBook

This book is for programmers, scientists, and engineers who have knowledge of the Python language and know the basics of data science. It is for those who wish to learn different data analysis methods using Python and its libraries. This book contains all the basic ingredients you need to become an expert data analyst.

Ratings and reviews

4.2
6 reviews
Bernie Ongewe
29 November 2014
Mr Idris is straightforward about the prerequisites though these are lighter than I expected. If I may extract some text directly from the book; "This book is for people with basic knowledge of Python and Mathematics who want to learn how to use Python software to analyze data. We try to keep things simple, but it's not possible to cover all the topics in great detail. It may be useful for you to refresh your knowledge of Mathematics via Khan Academy, Coursera, or Wikipedia." With this in your back pocket the author delivers rigorous treatment of the components of data anaylsis, spending the first hundred pages on just matrix algebra and statistics, for instance. The extent to which Idris refers to and recommends other resources throughout the text makes it easier for the reader to extend their capabilities in any direction. In my mind, this increases the value of this book as an entry point to the topic.
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About the author

Ivan Idris has an MSc degree in Experimental Physics. His graduation thesis had a strong emphasis on Applied Computer Science. After graduating, he worked for several companies as Java developer, data warehouse developer, and QA analyst. His main professional interests are Business Intelligence, Big Data, and Cloud Computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. He is the author of NumPy Beginner's Guide - Second Edition, NumPy Cookbook, and Learning NumPy Array, all by Packt Publishing. You can find more information and a blog with a few NumPy examples at ivanidris.net.

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