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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:	Sebastopol, California :O'Reilly Media, Inc., : c2018.,
Description:	xvi, 528 p. :ill. ; : 24 cm.;
Notes:	"Revision history for the Second Edition: 2017-09-25: First Release"--T.p. verso.
Subject:	Python (Computer program language) -
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. - Sebastopol, California :O'Reilly Media, Inc.,c2018. - xvi, 528 p. :ill. ;24 cm.

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

Preliminaries -- Python language basics, IPython, and Jupyter notebooks -- Built-in data structures, functions, and files -- NumPy basics: arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data cleaning and preparation -- Data wrangling: join, combine, and reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Advanced pandas -- Introduction to modeling libraies in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system.

"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:

566246
Python (Computer program language)

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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260 # $a Sebastopol, California : $b O'Reilly Media, Inc., $c c2018.
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500 $a "Revision history for the Second Edition: 2017-09-25: First Release"--T.p. verso.
500 $a First edition: October 2012.
500 $a Includes index.
505 0 # $a Preliminaries -- Python language basics, IPython, and Jupyter notebooks -- Built-in data structures, functions, and files -- NumPy basics: arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data cleaning and preparation -- Data wrangling: join, combine, and reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Advanced pandas -- Introduction to modeling libraies in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system.
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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