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 osimport pandas as pd%matplotlib inlinefrom matplotlib import pyplot as pltimport 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 ...
