![]() Our implementation uses deque, allowing for thread-safe. ![]() We will cover deques in depth in the next chapter for now consider deques to be a combination of a stack and a queue, enabling O ( 1 ) O(1) O ( 1 ) pushing and popping from both ends. The queue is a linear data structure useful when accessing data in a first-in, first-out fashion. Queue in Python can be implemented in the following ways: list implementing Queue using List : q q. In practice, many Python programmers will use the standard library’s que class to achieve O ( 1 ) O(1) O ( 1 ) enqueues and dequeues. pop ( ) def size (self ) : return len (self. Enqueue operation: Now check if Size < MaxSize: If yes: Append data to Queue and then increment Tail by 1. Number of elements in the queue -> Size Tail Head. insert ( 0, item ) def dequeue (self ) : return self. Declare a list of elements and maximum size of the Queue. _items = def is_empty (self ) : return self. class Queue (object ) : def _init_ (self ) : The implementation shown below uses insert(0, item) to enqueue a new item, which will be an O ( n ) O(n) O ( n ) operation. Unlike with a stack, the performance implication of using a Python list as a queue is significant. class queue: def init (self,queue): self.queue def dequeue (self): if len (queue) > 0: e queue 0 queue list 1:len (queue) else: return 'There are no elements to remove' def enqueue (self,element): queue. Again, for the purpose of illustrating the narrow set of behaviors that define the queue abstract data type, we define a Queue class to expose only the desired the functionality of an internal list. ![]() Just like with a stack, it is possible to “use a Python list as a queue”.
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