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: “The anomaly column gets the value 1 if it’s outside of the yhat boundary.”

A block of code is set as follows:

    combined_results = pd.merge( 
       current_metric, 
       forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']],  
       on='ds' 
    )

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

       # Convert the `seconds` representation into datetime object
       data_dict['ds'] = pd.to_datetime(data[0], unit='s')
       # Save the interface counters value retrieved in a `float` 
       format
       data_dict['y'] = float(data[1])
       metric_list.append(data_dict)
   df_metric = pd.DataFrame(metric_list)

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

>>> pkts = sniff(filter="icmp and host 1.1.1.1", count=2)

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: “Click the Settings menu and then Security.”

Tips or important notes

Appear like this.