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Python for data analysis : data wrangling with Pandas, NumPy, and IPython

Author: Wes McKinney
Publisher: Beijing : O'Reilly, 2017. © 2018
Edition/Format:   Print book : English : Second editionView all editions and formats
Summary:
"Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python? The second edition of this hands-on guide-updated for Python 3.5 and Pandas 1.0-is packed with practical cases studies that show you how to effectively solve a broad set of data analysis problems, using Python libraries such as NumPy, pandas, matplotlib, and IPython. Written by Wes McKinney, the main  Read more...
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Document Type: Book
All Authors / Contributors: Wes McKinney
ISBN: 9781491957660 1491957662
OCLC Number: 1008635843
Notes: Previous edition: 2012.
Includes index.
Description: xvi, 524 pages : illustrations ; 24 cm
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.

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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