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Python for Data Analysis Data Wrangling with Pandas, NumPy, and IPython

ISBN-10: 1449319793
ISBN-13: 9781449319793
Edition: 2012
Authors: Wes McKinney
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Description: 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  More...

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Book details

List price: $31.99
Copyright year: 2012
Publisher: O'Reilly Media, Incorporated
Publication date: 11/1/2012
Binding: Paperback
Pages: 400
Size: 7.00" wide x 9.25" long x 1.25" tall
Weight: 1.892
Language: English

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 Analysisdemonstrates 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 PythonGet the most complete instruction on the basics of the “modern scientific Python platform”Learn from an insider who builds tools for the scientific stackGet an excellent introduction for novices and a wealth of advanced methods for experienced analysts

Wes McKinney lives in Greenwich, CT, where he works for AQR Capital Management, a quantitative investment management firm. He recently released pandas, a library for working with common data sets found in finance, statistics, and econometrics. He graduated with an S.B. in Mathematics from MIT and is looking forward to becoming a graduate student at Cornell.

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