Python for data analysis : data wrangling with Pandas, NumPy, and Jupyter /

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Bibliographic Details
Author / Creator:	McKinney, Wes, author.
Edition:	Third edition.
Imprint:	Sebastopol, CA : O'Reilly Media, Inc., [2022]
Description:	1 online resource (1 volume) : illustrations
Language:	English
Subject:	Data mining. Python (Computer program language) Data mining Python (Computer program language)
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13702324

Hidden Bibliographic Details
ISBN:	9781098104030 109810403X
Notes:	Includes bibliographical references and index. Description based on print version record.
Summary:	Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.
Other form:	Print version: McKinney, Wes. Python for data analysis. Third edition. Cambridge : O'Reilly, 2022 9781098104030

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