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

Format:

Book

Author/Creator:

McKinney, Wes, author.

Language:

English

Subjects (All):

Python (Computer program language).

Programming languages (Electronic computers).

Data mining.

Physical Description:

xvi, 524 pages : illustrations ; 24 cm

Edition:

Second edtiion.

Other Title:

Data wrangling with pandas, NumPy, and IPython

Place of Publication:

Sebastopol, CA : O'Reilly Media, Inc., October 2018.

Summary:

"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.

Contents:

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.

Notes:

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

First edition: October 2012.

Includes index.

ISBN:

9781491957660

1491957662

OCLC:

959595088

Publisher Number:

99976814285