The following code in Python shows an example of this. One of the simplest ways to use a priority queue is with an array. We’re going to cover each of these briefly. Generally, you can use an array, a linked list, or a binary heap. Similar to other queues, there are many ways to implement a priority queue. We can also use size and isEmpty with priority queues, to check the queue size and status. Since a priority queue doesn’t obey the FIFO principle, elements are inserted or removed depending on their priority. Priority queues use many of the same operations as other queues – these include insertion, deletion, and peek (retrieves the highest-priority element). Generally, the priority is predefined before execution. When implementing a priority queue, the elements are accessed in order of their priority, with the highest-priority elements being dealt with first. As such, a priority queue is a much more appropriate structure to use here. In these cases, there is still a queue present, but the order in which people leave the queue depends on their priority. Think about the emergency room at a hospital, loyalty customers of a business, or prioritized baggage at an airport. However, this type of queue isn’t applicable to some situations. This logic is found in many real-life queues, such as people queuing for a burger stand or theme park ride, or waiting in a call list for a call center. This means that the first element to be inserted will be the first to be removed. Typical queues, such as linear or circular queues, follow the First-In-First-Out (FIFO) principle. In this article, we’re going to look at how priority queues work, the different ways we can implement them, and best practices. This kind of queue departs from the typical conventions of an ordinary queue but this behavior is desirable in certain scenarios. One of the most fundamental types is the priority queue. There are many kinds of queue structures in programming, each with its own advantages and applications.
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