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

By:

McKinney, Wes [author]

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781098104030 (paperback)
109810403X

Subject(s):

LOC classification:

QA76.73.P98

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.

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Holdings ( 1 )
Title notes ( 2 )

Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Book - General	Indera Mahkota Campus Library	Indera Mahkota Campus Library	General Collection	Open Shelf	QA76.73 P98 M478P 2022 (Browse shelf(Opens below))					Available			11100489481			Introduction to Data Analytics

Includes bibliographical references and index.

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.