Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “To begin, we need to import the required libraries: streamlit, pandas, numpy, matplotlib, and seaborn.”

A block of code is set as follows:

import pandas as pd
import numpy as np
import seaborn as sns
pd.set_option('display.float_format', lambda x: '%.2f' % x)
df = pd.read_csv('data/ trafficsources.csv')
df.describe()

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

# Define the model with pm.Model() as model_pymc:    alpha = 1.0/daily_sales.sales.mean()      lambda_1 = pm.Exponential("lambda_1", alpha)    lambda_2 = pm.Exponential("lambda_2", alpha)

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

pip install tap-googleads

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “Analytics can be split into four areas or pillars: descriptive, predictive, diagnostic, and prescriptive analytics.”

Tips or important notes

Appear like this.