Syntax

# With square brackets
list_a = []

# With built-in function
list_b = list()

Lists can either be defined with square brackets ([]) or with the built-in list() constructor method. In any case, the values initially passed to the new list must be comma-separated.

The following example showcases how lists can hold items of the same type or a mix of different types:

list_1 = [1, 2, 3, 4, 5, 6, 7, 8, 9]
list_2 = ["one", 2, "3"]

Stacks and Queues

Python lists can also be made to behave like stacks and queues.

Stacks follow a “last-in, first-out” insertion order. This behavior can be showcased with the .append() and .pop() methods for adding to and removing from the top of the stack, respectively:

stack_example = ["a", "b", "c"]
print(stack_example)
stack_example.append(1)
stack_example.append(2)
stack_example.append(3)
print(stack_example)
stack_example.pop()
stack_example.pop()
print(stack_example)

Queues follow a “first-in, first-out” insertion order and also utilize the .append() and .pop() methods:

queue_example = ["a", "b", "c"]
print(queue_example)
queue_example.append(1)
queue_example.append(2)
print(queue_example)
queue_example.pop(0)
print(queue_example)

While using a list as a queue is possible, it is not efficient because applying .pop() to the first item requires shifting all remaining items by one spot and reassigning indices. Instead, a deque object from the collections module should be used to efficiently add/remove from a queue.

Video Walkthrough

Watch this video for a step-by-step demonstration on how to create and edit Python lists.