December 2022
Beginner to intermediate
512 pages
14h 57m
English
Content preview from Pandas for Everyone: Python Data Analysis, 2nd Edition
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Part I
Introduction
Chapter 1 Pandas DataFrame Basics
Chapter 2 Pandas Data Structures Basics
This book begins with an introduction to the Pandas Python library for data analytics. It first covers the very basics of using the pandas library, loading your first data set and doing basic filtering and subsetting commands with your data (Chapter 1). It then goes into more detail about the DataFrame and Series objects, where we cover more of the attributes and methods these objects can do, including how to save data sets for storage (Chapter 2). It then pivots into data visualization with matplotlib and seaborn plotting libraries as well as the built-in pandas plotting methods ...
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