Last, but not least, let’s take a look at how to use the Queue class from the queue module as a third option to create a FIFO queue in Python. But adding to a deque is an O(1) operation. This is because as mentioned earlier, appending to a list is an O(n) operation. Print(f" -The first priority member is times faster!")Īs you can see, the deque is significantly faster. Now you can use this queue: namequeue = Queue() Next, let’s write a custom class for a queue that implements the operations enqueue, dequeue, front, rear, and isEmpty with the help of a list: class Queue: Now you know how to use a list as a FIFO queue in Python. Then let’s remove the names in the First In, First Out manner: queue = These can be used as the enqueue and dequeue methods respectively.įor example, let’s create a queue and add names to it. Python List as a FIFO QueueĪ simple way to implement a FIFO queue in Python is by using a list.
Let’s start with a list that can act as a simple FIFO queue. In this guide, we are going to go through three different ways to create a queue in Python:
Now we are ready to get our hands dirty with queues in Python. Get the last priority item of the queue (on the left). Get the first priority item of the queue (on the right). The items are dequeued in the same order as they were enqueued. Here are the basic queue operations that a FIFO queue commonly supports: Low-level operations, such as CPU scheduling can be handled with a maintained queue.īefore implementing a queue in Python, let’s go through the necessary operations related to queues. Hardware interrupts are handled with queues. The web traffic is handled with a queue that serves clients in the FIFO manner. Generally, whenever your application needs to support the First In, First Out priority, it is time to use a queue. There are many ways you can benefit from using a queue.
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