Mastering Python Design Patterns - Second Edition

A fourth example

Let's build a stream of the list of people and an Observable based on it.

Here is another trick: To help you handle the data source, we will use a third-party module called Faker (https://pypi.org/project/Faker) to generate the names of people.

You can install the Faker module using the pip install faker command.

In the peoplelist.py file, we have the following code, with a populate() function that leverages a Faker instance to generate the first name and last name of fictitious people:

from faker import Fakerfake = Faker()def populate():    persons = []    for _ in range(0, 20):        p = {'firstname': fake.first_name(), 'lastname': fake.last_name()}        persons.append(p)    return iter(persons)

For the main part of the program, we write the ...