Implement queue behavior with an input stack and an output stack.

Algorithm

The replay uses the same three values in every language, so this Python DSA implementation can be compared directly with the rest of the DSA track.

Basic Implementation

basic.py
in_stack = []
out_stack = []

def enqueue(value):
    in_stack.append(value)

def transfer():
    while in_stack:
        out_stack.append(in_stack.pop())

def dequeue():
    if not out_stack:
        transfer()
    return out_stack.pop()

for value in [10, 20, 30]:
    enqueue(value)
removed = [dequeue(), dequeue(), dequeue()]
print(" -> ".join(str(x) for x in removed))

Complexity

  • Time: O(1) amortized per operation
  • Space: O(n)

Implementation notes

  • Keep the explicit stack/queue operations. Library shortcuts that only produce the final list hide the data-structure behavior this lesson is meant to replay.
  • The final output uses a deterministic a -> b -> c format for cross-language comparison.
input stack Enqueue pushes new values onto the input stack.
output stack When the output stack is empty, transferring all input values reverses them into dequeue order.