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Mastering Python Data Analysis

You're reading from   Mastering Python Data Analysis Become an expert at using Python for advanced statistical analysis of data using real-world examples

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Product type Paperback
Published in Jun 2016
Publisher Packt
ISBN-13 9781783553297
Length 284 pages
Edition 1st Edition
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Authors (2):
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Magnus Vilhelm Persson Magnus Vilhelm Persson
Author Profile Icon Magnus Vilhelm Persson
Magnus Vilhelm Persson
Luiz Felipe Martins Luiz Felipe Martins
Author Profile Icon Luiz Felipe Martins
Luiz Felipe Martins
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Toc

Conventions

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning. Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "This code has the effect of selecting matplotlib stylesheet mystyle.mplstyle."

A block of code is set as follows:

gss_data = pd.read_stata('data/GSS2012merged_R5.dta',
                         convert_categoricals=False)
gss_data.head()

Any command-line input or output is written as follows:

    python -c 'import numpy'

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "Here, you can check the box for add a toolbar button to open the shortcuts dialog/panel."

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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