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.
A block of code is set as follows:
import os
import pandas as pd
%matplotlib inline
from matplotlib import pyplot as plt
import seaborn as sns
In-text code is highlighted in font and color as here: pandas.DataFrame. File and folder names are also shown in the same style, for example, Chapter_1_Models_for_Time_Series_Analysis.ipynb or datasets/DJIA_Jan2016_Dec2016.xlsx
At several places in the book, we have referred to external URLs to cite source of datasets or other information. A URL would appear in the following text style: http://finance.yahoo.com
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: "In order to download new modules, we will go to Files | Settings | Project Name | Project Interpreter."
