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Python Data Structures in Practice

Recap
2. Recap
Tuples as return types in functions
Tuples as records
List of tuples
Summary

Instruction

First, let's do a quick recap of tuple basics before we move on to their typical applications.

tuple

Tuples are a bit similar to lists, but they are immutable—once you create a tuple, you can't change it. Tuples frequently store values of multiple types. The codes below present basic tuple operations in Python.

  1. Define a tuple (name, age, nationality, city):
    2. person = ('Mark', 28, 'English', 'London')
  2. Access second element:
    3. person[1]
  3. Access second and third element:
    4. person[1:3]
  4. Iterate over tuple:
    5. for item in person:
  5. Check if tuple contains item:
    6. if item in person:
  6. Unpack tuple:
    7. name, age, nationality, city = person

Exercise

Let's do a warm-up exercise! Write a function named print_adult_status(person) that accepts a tuple in the format shown in the template code. The function should check if the person is 18 years or older and print either:

{name} is of legal age.

or:

{name} is not of legal age.

A person should have the following format:

(name, age, nationality, city)

Stuck? Here's a hint!

You will need to use person[0] (name) and person[1] (age) in your solution.