![]() ![]() The tasks can be processed either immediately or at a certain scheduled time. This means that it can handle multiple tasks that are lined up for processing. To begin, you must import the heapq module.Redis, with its support for list and set data structures, can be effectively used as a message queue. Let’s look at some examples of heapq functions in action. This function is identical to sorting, but it only applies to the first index in the case of an array. This function rearranges all list elements by putting the smallest one first while the others are not. The latter library enables all operations to be carried out. Though, the modules are imported using the Python library. We’ll make a heap using the heapify function on an essential list. Heapq with Primitive Data Types: An Example Walkthrough
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