The get() method uses the front pointer to get an element of the queue. The queue provides the get() method in python to get or extract an element from the queue. The put(item) method uses the rear pointer to insert an element in the queue. The queue provides the put(item) method in python to insert an element into the queue. Let us now discuss some of the commonly used methods associated with the queue in python. So, the queue in python supports a wide range of methods. The queue is one of the fastest (insertion and deletion can be performed in O(1) time complexity) and most frequently used data structures. Hence, the queue is a fast and effective data structure. So, the time complexity of inserting an element in the queue in python is O ( 1 ) O(1) O ( 1 ).Īs we can see, nearly all of the operations associated with the queue in python take a linear time, i.e., O ( 1 ) O(1) O ( 1 ). Since the rear end is always maintained, we can directly insert a new element into the queue. An element is inserted or enqueued from the rear end of the queue. Inserting an element of data into the queue is known as enqueue. Let us learn about the various operation associated with queues in python. We can perform various operations using queues in python. Queue in python is one of the most important and commonly used data structures. On the other hand, elements are removed from the front end.Ī pictorial representation of a queue can be: The data or an element is inserted from the rear end. The queue in python has two ends, namely- rear and front. The queue in python can be implemented in a variety of ways. The person standing in front of the ticket window will get the ticket first. The queue for a movie ticket is an example of a queue data structure. In our day-to-day life, we can see many examples of queues. A linear data structure is a collection of elements such that each element is arranged sequentially, and each member element is connected to its previous and next elements.
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