python create heap смотреть онлайн

Download this blogpost from https://codegive.com
in computer science, a heap is a specialized tree-based data structure that satisfies the heap property. heaps are commonly used for tasks like implementing priority queues and sorting algorithms like heap sort. in this tutorial, we will explore how to create a heap in python using the heapq module, which provides a heap implementation.
a heap is a binary tree with two main properties:
python's heapq module provides functions to create and manipulate heaps. it allows us to easily create min heaps (the default) and max heaps with various operations like inserting elements, popping elements, and heapifying an existing list.
to get started, make sure you import the heapq module:
to create a min heap, you can use the heapify() function from the heapq module to convert a regular list into a min heap. here's an example:
in this example, heapq.heapify(data) converts the data list into a min heap in-place. after calling heapq.heapify(), data is sorted in a way that satisfies the min heap property.
to create a max heap, you can simulate it by negating the values and then using the heapify() function. here's an example:
in this example, we first negate the values in data to create a max heap from the list. after calling heapq.heapify(), we negate the values back to their original form.
once you have created a heap, you can perform various operations on it using functions provided by the `

...