Python_for_Data_Analysis_3rd_Edition_-_Wes_McKinney.pdf

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Python
powered by
Data Wrangling with pandas, NumPy & Jupyter
for Data Analysis
Wes McKinney
Python for Data Analysis
Get the definitive handbook for manipulating, processing,
cleaning, and crunching datasets in Python. Updated for
Python 3.10 and pandas 1.4, the third 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, and Jupyter
in the process.
Written by Wes McKinney, the creator of the Python pandas
project, this book is a practical, modern introduction to
data science tools in Python. It’s ideal for analysts new to
Python and for Python programmers new to data science
and scientific computing. Data files and related material are
available on GitHub.
“With this new edition,
Wes has updated his
book to ensure it remains
the go-to resource for
all things related to data
analysis with Python
and pandas. I cannot
recommend this book
highly enough.”
Lecturer and author of O’Reilly’s
Head First Python
—Paul Barry
•
Use the Jupyter notebook and the IPython shell for
exploratory computing
•
Learn basic and advanced features in NumPy
•
Get started with data analysis tools in the pandas library
•
Use flexible tools to load, clean, transform, merge, and
reshape data
•
Create informative visualizations with matplotlib
•
Apply the pandas groupBy facility to slice, dice, and
summarize datasets
data
•
Analyze and manipulate regular and irregular time series
•
Learn how to solve real-world data analysis problems with
thorough, detailed examples
Wes McKinney,
cofounder and chief
technology officer of Voltron Data, is
an active member of the Python data
community and an advocate for Python
use in data analysis, finance, and
statistical computing applications. A
graduate of MIT, he’s also a member of
the project management committees
for the Apache Software Foundation’s
Apache Arrow and Apache Parquet
projects.
DATA
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ISBN: 978-1-098-10403-0
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781098 104030
THIRD EDITION
Python for Data Analysis
Data Wrangling with pandas,
NumPy, and Jupyter
Wes McKinney
Beijing
Boston Farnham Sebastopol
Tokyo
Python for Data Analysis
by Wes McKinney
Copyright © 2022 Wesley McKinney. All rights reserved.
Printed in the United States of America.
Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472.
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October 2012:
October 2017:
August 2022:
First Edition
Second Edition
Third Edition
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Revision History for the Third Edition
2022-08-12:
First Release
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for release details.
The O’Reilly logo is a registered trademark of O’Reilly Media, Inc.
Python for Data Analysis,
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image, and related trade dress are trademarks of O’Reilly Media, Inc.
While the publisher and the author have used good faith efforts to ensure that the information and
instructions contained in this work are accurate, the publisher and the author disclaim all responsibility
for errors or omissions, including without limitation responsibility for damages resulting from the use
of or reliance on this work. Use of the information and instructions contained in this work is at your
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978-1-098-10403-0
[LSI]
Table of Contents
Preface. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xi
1.
Preliminaries. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.1 What Is This Book About?
What Kinds of Data?
1.2 Why Python for Data Analysis?
Python as Glue
Solving the “Two-Language” Problem
Why Not Python?
1.3 Essential Python Libraries
NumPy
pandas
matplotlib
IPython and Jupyter
SciPy
scikit-learn
statsmodels
Other Packages
1.4 Installation and Setup
Miniconda on Windows
GNU/Linux
Miniconda on macOS
Installing Necessary Packages
Integrated Development Environments and Text Editors
1.5 Community and Conferences
1.6 Navigating This Book
Code Examples
1
1
2
3
3
3
4
4
5
6
6
7
8
8
9
9
9
10
11
11
12
13
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15
iii

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