![]() Most Efficient Queue Implementation in Python Return True return False def enQueue(self, data): Finally, we will return the value stored in the temporary variable.After that, we will increment the value in the attribute front, denoting that the next element in the list has become the front element.We will store the element at the front index in a temporary variable in such a case. If none of the above conditions are True, the queue has two or more elements.Then, we will update the attributes front and rear to -1, showing that the queue has become empty. If the queue has only one element, we will remove the element at the front index of the queue using the pop() method and return it to the user.We can check if the front and rear attributes have the same value, and none of them are -1. We will check if there is only one element in the queue.If yes, we cannot operate otherwise, we will perform the following. ![]() We will first check if the queue is empty for the dequeue operation. rear += 1 Dequeue Operation Using Lists in Python The entire operation can be implemented in Python as follows. In the enqueue operation, the value of the front attribute will not be changed as we are not removing any element from the queue. After that, we will increment the value in the rear attribute showing that an extra element has been added to the queue.If the list is not empty, we will first add the element to the list using the append() method.Both the front and rear elements are present at index 0 in the list data. Now that there is only one element in the list, we will update the values of the attributes front and rear to 0.When invoked on a list, the append() method takes an element as its input argument and adds it to the list. If the queue is empty, we will append an element to the list contained in the data attribute using the append() method.We can use the isEmpty() method defined above. To insert an element into the queue, we will check first if the queue is empty. ![]() Return False Enqueue Operation Using Lists in Python 1 is the front element, while 6 is the rear element. Similarly, the last element of the queue is called the rear element.įor instance, consider the following sequence of numbers as a queue. The first element in the queue is called the front element. Let us first discuss the general concept behind all the operations, and after that, we will implement the queue operations using various constructs. In a queue, we can perform different operations. This article will discuss three different ways for queue implementation in Python. We use queues in Python to perform first-in, first-out (FIFO) operations. Most Efficient Queue Implementation in Python.Queue Implementation Using the Collections Module in Python.Queue Implementation Using Linked Lists in Python.Queue Implementation Using Lists in Python. ![]()
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