Load Balancing in Distributed Systems: In a distributed system, there are multiple nodes that work together to accomplish a task. Some tasks may be more urgent than others and need to be executed before other tasks in order to maintain system stability and performance. For example, in an operating system, the kernel needs to schedule tasks for the CPU to execute. Job Scheduling: In many systems, there are multiple jobs that need to be executed, but some jobs have higher priority than others. They are used in a wide range of applications, including: Priority queues are an important data structure in computer science that allow us to efficiently manage and process data based on priority. Using the queue module is more efficient than using a list for large datasets since it uses heap data structure internally which has O(log n) time complexity for inserting elements. The `dequeue()` function removes and returns the item with the highest priority using the `get()` method. It uses the `put()` method to insert the tuple containing both values into the Priority Queue. The `enqueue()` function takes two arguments – an item and its priority. We define two functions – `enqueue()` and `dequeue()`. In this code, we import the `queue` module and create an instance of the `PriorityQueue` class called `queue`. put (( priority, item )) def dequeue (): if not queue : return None return queue. PriorityQueue () def enqueue ( item, priority ): queue. To implement this, we can use the `insert()` method to insert an element at its correct position and the `pop()` method to remove the element with the highest priority. We can insert elements into the list in their respective order of priority and then pop elements from the beginning of the list. One way to implement a priority queue in Python is by using a list. In this tutorial, we will discuss three different ways to implement a Priority Queue in Python. The elements are stored based on their priorities and not in the order they are inserted. Priority Queue is a data structure that stores a collection of elements and each element has a priority associated with it.
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