Python for data analysis : data wrangling with Pandas, NumPy, and IPython (eBook, 2017) [WorldCat.org]
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Python for data analysis : data wrangling with Pandas, NumPy, and IPython

Author: Wes McKinney
Publisher: Sebastopol, CA : O'Reilly Media, Inc., [2017] ©2018
Edition/Format:   eBook : Document : English : Second editionView all editions and formats
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. Written by Wes McKinney, the creator of the  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
McKinney, Wes.
Python for data analysis.
Sebastopol, CA : O'Reilly Media, Inc., October 2018
(DLC) 2018302150
(OCoLC)959595088
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Wes McKinney
ISBN: 9781491957639 1491957638 9781491957615 1491957611
OCLC Number: 1005140249
Notes: Includes index.
Description: 1 online resource (xvi, 522 pages) : illustrations (some color)
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 libraries in Python --
Data analysis examples --
Advanced NumPy --
More on the IPython system.
Responsibility: Wes McKinney.
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Abstract:

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  Read more...

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