Summary  
This chapter explains how to add elements to an immutable tuple by either converting it to a list and back or by concatenating it with another tuple to form a new tuple.

General domain of usage  
Movie collection management

To add elements to a tuple, you can use the same approach that's effective for deletion. Since tuples are immutable, you can't directly add an element to them without encountering an error. However, there are workarounds to add new elements to a tuple.

# Original tuple of movies
movies = ("Inception", "Interstellar", "Tenet")

# Convert the tuple to a list
movies_list = list(movies)

# Add a new movie to the list
movies_list.append("Dunkirk")

# Convert the list back to a tuple
movies = tuple(movies_list)

print("After:", movies)

Another way to add an element to a tuple is by concatenating it with another tuple. If you want to add one or more elements, simply create a new tuple with these elements and combine it with the original tuple.

# Original tuple of movies
movies = ("Inception", "Interstellar", "Tenet")

# Create a new tuple with the movie to add
new_movies = ("Dunkirk",)

# Concatenate the tuples
movies += new_movies

print(movies)

import unittest
import importlib
import re

def _dynamic_test(test_case, condition, success_message, failure_message):
    if condition:
        test_case._testMethodName = success_message
        test_case.assertTrue(True, success_message)
    else:
        test_case._testMethodName = failure_message
        test_case.fail(failure_message)

class TestUserCode(unittest.TestCase):

    def test_animal_movies_is_declared(self):
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, 'animal_movies'),
            "The `animal_movies` variable is declared.",
            "Expected `animal_movies` to be declared."
        )

    def test_animal_movies_is_tuple(self):
        import user_code
        _dynamic_test(
            self,
            isinstance(user_code.animal_movies, tuple),
            "The `animal_movies` is of type `tuple`.",
            "Expected `animal_movies` to be of type `tuple`."
        )

    def test_animal_movies_contains_correct_values(self):
        import user_code
        expected_values = ('The Lion King', 'Jurassic Park', 'Finding Nemo', 'Dumbo', 'Zootopia')
        _dynamic_test(
            self,
            user_code.animal_movies == expected_values,
            f"The `animal_movies` contains `{expected_values}`.",
            f"Expected `animal_movies` to contain `{expected_values}`, but got `{user_code.animal_movies}`."
        )

if __name__ == '__main__':
    unittest.main()

test_main.py

Explore the fundamental data structures of the Python programming language, including lists, dictionaries, tuples, and sets, and learn how to apply them effectively to solve real-world programming challenges.

What is a list? A list is an ordered collection that can be modified. It also allows for duplicate elements.

Adding Items to a Tuple jn Python

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