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Python for data analysis : = data wr...

McKinney, Wes.

Python for data analysis : = data wrangling with pandas, NumPy, and IPython /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Python for data analysis :/ Wes McKinney.
Reminder of title:	data wrangling with pandas, NumPy, and IPython /
remainder title:	Data wrangling with pandas, NumPy, and IPython
Author:	McKinney, Wes.
Published:	Beijing ;O'Reilly, : c2018.,
Description:	xvi, 524 p. :ill. ; : 24 cm.;
Notes:	"Revision history for the Second Edition: 2017-09-25: First Release"--Title page verso.
Subject:	Data mining. -
ISBN:	1491957662 (pbk.)

Python for data analysis : = data wrangling with pandas, NumPy, and IPython /
McKinney, Wes.

Python for data analysis :data wrangling with pandas, NumPy, and IPython /Data wrangling with pandas, NumPy, and IPythonWes McKinney. - 2nd ed. - Beijing ;O'Reilly,c2018. - xvi, 524 p. :ill. ;24 cm.

"Revision history for the Second Edition: 2017-09-25: First Release"--Title page verso.

"Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second 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, IPython, and Jupyter in the process"--Page 4 of cover.

ISBN: 1491957662 (pbk.)

LCCN: 2018302150Subjects--Topical Terms:

88799
Data mining.

LC Class. No.: QA76.73.P98 / M42 2018

Dewey Class. No.: 005.133

Python for data analysis : = data wrangling with pandas, NumPy, and IPython /
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245 1 0 $a Python for data analysis : $b data wrangling with pandas, NumPy, and IPython / $c Wes McKinney.
246 3 0 $a Data wrangling with pandas, NumPy, and IPython
250 $a 2nd ed.
260 $a Beijing ; $a Sebastopol, California : $c c2018. $b O'Reilly,
300 $a xvi, 524 p. : $b ill. ; $c 24 cm.
500 $a "Revision history for the Second Edition: 2017-09-25: First Release"--Title page verso.
500 $a First edition: October 2012.
500 $a Includes index.
520 $a "Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second 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, IPython, and Jupyter in the process"--Page 4 of cover.
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650 0 $a Programming languages (Electronic computers) $3 87542
650 0 $a Python (Computer program language) $3 92845