Python for Data Analysis

Python for Data Analysis

Data Wrangling With Pandas, NumPy, and IPython

Book - 2017
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"Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python? The second edition of this hands-on guide-updated for Python 3.5 and Pandas 1.0-is packed with practical cases studies that show you how to effectively solve a broad set of data analysis problems, using Python libraries such as NumPy, pandas, matplotlib, and IPython. Written by Wes McKinney, the main author of the pandas library, Python for Data Analysis also serves as a practical, modern introduction to scientific computing in Python for data-intensive applications. It's ideal for analysts new to Python and for Python programmers new to scientific computing."-- Provided by publisher.
Publisher: Sebastopol, CA : O'Reilly Media, Inc., October 2017
Edition: Second edtiion
Copyright Date: ©2018
ISBN: 9781491957660
Branch Call Number: 005.133 P999M 2018
Characteristics: xvi, 524 pages : illustrations ; 24 cm


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