A list is an ordered sequence of values separated by spaces. For example:




A list can contain other objects, for example dictionaries, which we learned about in the last lesson. For example:


Creating, Reading, Updating and Deleting elements in a list


Lists can be created by assigning the values you want to store in a list to a variable, for example:

fruit = ["apples","oranges","bananas"]

or if you are going to be adding the contents of the list later, you can declare an empty list. You can create an empty list in two ways:

Assigning [] to a variable, for example:

fruit = []

or use the list() constructor:

fruit = list()


Objects stored in list are given an index number starting at 0. To read an element from a list you use the index number of the stored value.

  • Using the python interactive mode, try the following:
>>>fruit = ["apples","oranges","bananas"]

In the example above python has printed the value stored at the index position 1, which has returned oranges, because the first index is position 0.

You can find the length of a list using len(). Try the following:


You can return the last value in a list or work backwards from the last item using a negative index value. For example to return the last value in the list

  • Try the following:


Lists are mutable, which means they can be changed after you create them. You can add, update, delete and reorder elements in a list.

You can use append() to add an element to the end of the list.

  • Try the following:
>>> fruit.append("kiwi")
>>> print(fruit)
['apples', 'oranges', 'bananas', 'kiwi']

If you want add an element at a specific point in the list you can use the index value with the insert() method.

  • Try the following:
>>> fruit.insert(2, "passion fruit")
>>> print(fruit)
['apples', 'oranges', 'passion fruit', 'bananas', 'kiwi']

Organizing a list

The elements in a list are not sorted automatically.

If you want to return information which is sorted, but retain the original order of the list, you can use the sorted() function.

  • Try the following:
['apples', 'bananas', 'kiwi', 'oranges', 'passion fruit']
['apples', 'oranges', 'passion fruit', 'bananas', 'kiwi']

In the example above you can see that the sorted() function return a sorted list, but does not alter the original order of the list.

If you want to permanently sort the list, you should use the sort() method.

  • Try the following:
>>> fruit.sort()
>>> print(fruit)
['apples', 'bananas', 'kiwi', 'oranges', 'passion fruit']

To reverse the order of a list you can use the reverse() method. This will permanently reverse the order of the list.

*Try the following:

>>> print(fruit)
['passion fruit', 'oranges', 'kiwi', 'bananas', 'apples']

To undo this action. you would just use reverse() again to restore the original order.


You can remove elements from a list using the del statement if you know the index position.

  • Try the following:
>>> del fruit[1]
>>> print(fruit)
['passion fruit', 'kiwi', 'bananas', 'apples']

If you use del the element is deleted, so you can no longer use it, for example if you had a list of users, you might want to delete a user.

If you want to use the value after removing it from a list you use the pop() method. To use pop(), you need to store the value you have removed from the list inside another variable.

  • Try the following:
>>>favorite_fruit = fruit.pop()

In this example, pop() has returned the last element in the list, which is the default for pop(). You can return any element with the pop() by using the index value.

  • Try the following:
>>> fresh_fruit = fruit.pop(1)
>>> print(fresh_fruit)

If you don’t know the index position, or you don’t want to remove the last item in the list, you can use the remove() method to specify the value of the element you want to remove.

  • Try the following:
>>> fruit.remove('bananas')
>>> print(fruit)
['passion fruit']

Remember that when you use del, pop() or remove(), the element is permanently deleted from the original list. If the list is printed out, you will see that those elements are no longer stored in the list.


As you will see in later labs, learning to use dictionaries and lists will significantly enhance your knowledge of how to use some features in AWS.