Summary  
This chapter explains how to use the list remove() method to delete the first occurrence of a specified value, and how to check for its existence first to avoid errors.  

General domain of usage  
Managing a travel destinations list in a travel planning application.

The `remove()` method deletes the **first occurrence** of a specific value in the list. This is particularly useful when you know the element's value but not its index.

The syntax of `remove()` method is:
``` python
list.remove(value)
```

Now, you decide to remove "Kyoto" from your list because you've already visited it. Here's how you can do it:

travel_wishlist = ["Paris", "Oslo", "Kyoto", "Sydney"]

# Remove a specific city
travel_wishlist.remove("Kyoto")
print(travel_wishlist)  # Output: ['Paris', 'Oslo', 'Sydney']

If "Kyoto" isn't on the list, this code will raise an **error**.

travel_wishlist = ["Paris", "Oslo", "Rome", "Sydney"]

# Remove a specific city
travel_wishlist.remove("Kyoto")
print(travel_wishlist)  # ValueError: list.remove(x): x not in list

To avoid this, you can check if the city exists before removing it:

travel_wishlist = ["Paris", "Oslo", "Rome", "Sydney"]

if "Kyoto" in travel_wishlist:
    travel_wishlist.remove("Kyoto")

print(travel_wishlist)

> Note
>
> With the `remove()` method, you can only take out one item at a time.

import unittest
from contextlib import redirect_stdout
import io
import importlib

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_travel_wishlist_is_declared(self):
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, 'travel_wishlist'),
            "The `travel_wishlist` list is declared.",
            "Expected `travel_wishlist` to be declared."
        )

    def test_travel_wishlist_is_a_list(self):
        import user_code
        _dynamic_test(
            self,
            isinstance(user_code.travel_wishlist, list),
            "The `travel_wishlist` is of type `list`.",
            "Expected `travel_wishlist` to be of type `list`."
        )

    def test_cities_removed_correctly(self):
        import user_code
        expected_list = ["Paris", "Kyoto"]
        _dynamic_test(
            self,
            user_code.travel_wishlist == expected_list,
            f"The cities were removed correctly: {user_code.travel_wishlist}.",
            f"Expected travel_wishlist to be {expected_list}, but got {user_code.travel_wishlist}."
        )

    def test_remove_method_used(self):
        with open('user_code.py', 'r') as file:
            user_code_source = file.read()

        remove_occurrences = user_code_source.count(".remove(")

        _dynamic_test(
            self,
            remove_occurrences >= 2,
            "The `remove()` method is used twice to remove elements.",
            "Expected the `remove()` method to be used twice to remove elements."
        )

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


test_main.py

In this course, you'll get to know the fundamental data structures of the Python programming language. We'll explore utilizing Python's native data structures like lists, dictionaries, tuples, and sets to tackle different challenges.

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

What is a dictionary? A dictionary is an ordered collection that can be changed, but it doesn't allow duplicate entries. It consists of `key:value` pairs, which are used to optimize its structure.

What is a tuple? A tuple is an ordered collection that cannot be altered. It can have duplicate elements. While it's similar to a list, the values in a tuple can be of any type and are indexed by integers. Although not mandatory, it's common to enclose the values of a tuple in parentheses, making them easier to understand in Python.

What is a set? In Python, a `set` is an unordered collection that is both `iterable` and `mutable`, with no repeated elements. While the order of items in a set isn't fixed, it can include a variety of elements. A key benefit of using sets over lists is their highly efficient method for determining if an element exists within the set.

Using the remove() Method: Deleting Specific Elements from Lists

Solution

Awesome!

Using the remove() Method: Deleting Specific Elements from Lists

Solution

Awesome!