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

CodeInText: 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: "Suppose further that given this dataset, our task is to be able to take in three of the attributes (datetime, protocol, and urgent) and to be able to accurately predict the value of malicious. In layman's terms, we want a system that can map the values of datetime, protocol, and urgent to the values in malicious."

A block of code is set as follows:

Network_features = pd.DataFrame({'datetime': ['6/2/2018', '6/2/2018', '6/2/2018', '6/3/2018'], 'protocol': ['tcp', 'http', 'http', 'http'], 'urgent': [False, True, True, False]})
Network_response = pd.Series([True, True, False, True])
Network_features
>>
 datetime protocol  urgent
0  6/2/2018      tcp   False
1  6/2/2018     http    True
2  6/2/2018     http    True
3  6/3/2018     http   False
Network_response
>>
 0     True
1     True
2    False
3     True
dtype: bool

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

times_pregnant                  0.221898
plasma_glucose_concentration    0.466581
diastolic_blood_pressure        0.065068
triceps_thickness               0.074752
serum_insulin                   0.130548
bmi                             0.292695
pedigree_function               0.173844
age                             0.238356
onset_diabetes                  1.000000
Name: onset_diabetes, dtype: float64

Bold: Indicates a new term, an important word, or words that you see onscreen.