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Use items.pop(0) to remove and retrieve the first element, del items[0] to remove it without retrieving it, or items = items[1:] to create a new list without it. For repeated first-in, first-out (FIFO) removals, use collections.deque and its popleft() method instead.

Choose the method that fits your goal

What you need Use Effect
Remove and keep the first value items.pop(0) Mutates the list and returns the removed value.
Remove the value without using it del items[0] Mutates the existing list and returns no value.
Make a list without the first value while preserving the original object items = items[1:] Creates a new list and rebinds items; other references to the original list are unchanged.
Repeatedly remove items from the front as a queue collections.deque with popleft() Uses a collection designed for efficient operations at both ends.

Remove and return the first element with pop(0)

Pass index 0 to pop() to remove the first item and get its value:

items = [10, 20, 30]
first = items.pop(0)

# first is 10
# items is now [20, 30]

This changes the existing list. Any other variable referring to that same list will see the removal too.

Remove the first element without returning it with del

Use del items[0] when you only need to change the list:

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items = [10, 20, 30]
del items[0]

# items is now [20, 30]

This also mutates the existing list, but does not provide the removed value.

Create a new list without the first element using slicing

The slice items[1:] contains every element from index 1 to the end. Assigning it back to items gives that name a new list:

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items = [10, 20, 30]
items = items[1:]

# items is [20, 30]

Unlike pop(0) and del, this does not modify the original list object. If another variable refers to the original list, that variable still sees all its elements.

Handle an empty list deliberately

On an empty list, both items.pop(0) and del items[0] raise IndexError. The slice items[1:] is safe and produces an empty list. If the list might be empty, check that case or handle the exception according to what your application should do.

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Why repeated front removal is slow

Removing an item from the start of a list requires the later elements to shift. The Python tutorial puts it plainly: “While appends and pops from the end of list are fast, doing inserts or pops from the beginning of a list is slow (because all of the other elements have to be shifted by one).”

The CPython time-complexity reference classifies pop(k) and deleting an item at index k as O(n-k), and deleting a slice l[i:j] as O(n-i). Thus, removing index 0 requires work proportional to the number of remaining elements. Slicing also creates a new list, so it is not a constant-time replacement for a queue operation. These complexity labels are for CPython; other Python implementations may have different costs. They describe growth with input size, not measured timings.

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Use deque.popleft() for a FIFO queue

If your code repeatedly consumes items from the front, use collections.deque:

from collections import deque

queue = deque([10, 20, 30])
first = queue.popleft()

# first is 10
# queue is deque([20, 30])

The Python documentation describes appends and pops at either end of a deque as approximately O(1); by comparison, list pop(0) incurs O(n) memory movement costs. A list can still be the better fit when you need fast random access: deque indexed access slows toward the middle.

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