This implementation has O(log n) time for insertion and extraction of the smallest element. We can also use the heapq module in Python to implement our priority queue. Thus, it is only efficient when we have to make few insertions. However, it takes O(n log n) time to maintain the order when an item is added to the list. customers.append((3, "Charles")) customers.sort(reverse=True) #Need to sort to maintain order customers.append((1, "Riya")) customers.sort(reverse=True) #Need to sort to maintain order customers.append((4, "Stacy")) customers.sort(reverse=True) while customers: print(customers.pop(0)) #Will print names in the order: Stacy, Charles, Harry, Riya. Here’s an example: customers = customers.append((2, "Harry")) #no sort needed here because 1 item. We will explore three of them here.Ī very simple and straightforward way is to use the normal list but sort it every time an item is added. When it comes to implementing Priority Queues in Python, there are a number of options. The higher the points, the more the priority.
Baggage tagged with “priority” or “business” or “first-class” usually arrives earlier than other non-tagged baggage.Ĭonsider that we want to have a priority queue of customers based on their loyalty points. The customers will be the “items” of this priority queue while the “priority” or “key” will be their loyalty.Īnother example is of airlines that give luggage on the conveyer belt based on the status or ticket class of the passengers. In such a case, the queue for tickets will no longer be first-come-first-served, but most-loyal-first-served.
#PYTHON PRIORITY QUEUE MOVIE#
For example, if the movie cinema decides to serve loyal customers first, it will order them by their loyalty (points or number of tickets purchased). But, what is a priority queue?Ī priority queue is an abstract data structure (a data structure defined by its behaviour) that is like a normal queue but where each item has a special “key” to quantify its “priority”.
Examples of queues include a queue at a movie ticket stand, as shown in the illustration above. A queue has FIFO (first-in-first-out) ordering where items are taken out or accessed on a first-come-first-served basis.
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