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Python for Data Analysis

Overview
Finding great data analysts is difficult. Despite the explosive growth of data in industries ranging from manufacturing and retail to high technology, finance, and healthcare, learning and accessing data analysis tools has remained a challenge. This pragmatic guide will help train you in one of the most important tools in the field—Python.

Filled with practical case studies, Python for Data Analysis demonstrates the nuts and bolts of manipulating, processing, cleaning, and crunching data with Python. It also serves as a modern introduction to scientific computing in Python for data-intensive applications. Learn about the growing field of data analysis from an expert in the community.

Learn everything you need to start doing real data analysis work with Python

Get the most complete instruction on the basics of the “modern scientific Python platform”

Learn from an insider who builds tools for the scientific stack

Get an excellent introduction for novices and a wealth of advanced methods for experienced analysts

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Book details & editions

ISBN 1449319793
Publisher O'Reilly Media
Publication date December 2011
Language EN-GB
Pages 400 pages
Reading Options PDF · EPUB · Mobi
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About the Author
Wes McKinney

Wes McKinney

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Wes McKinney is known for writing in a clear, engaging, and easy-to-follow style. The work feels natural and flows smoothly, making it enjoyable from beginning to end.

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