Of course, strings aren't the only things you can store in a JSON file; there can be numbers or logical values as well. We could have data like this:
{
"first_name": "Emma",
"last_name": "Jones",
"age": 43
}
When you load the data into memory, you'll notice that the age field is a number, and you can do computations and comparisons with it:
import json
with open('customer2.json', 'r') as file:
customer = json.load(file)
if customer['age'] >= 18:
print('Customer is an adult')
else:
years_to_adult = 18 - customer['age']
print('Customer is a minor and will be an adult in', years_to_adult, 'years.')
People typically retire at the age of 67. Load the JSON file named customer2.json into a variable named customer2, and display the number of years remaining until the customer retires, or state that they’re already retired. For example:
The customer has 10 years to retirement.
If the customer is at least 67, display:
The customer has already retired.
