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Charlotte - Space #24

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Heaps Practice

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Comprehension Questions

Question Answer
How is a Heap different from a Binary Search Tree? A heap guarantees that elements on higher levels are greater (max-heap) or smaller (min-heap) than elements on lower levels. A binary search tree guarantees order from left-to-right.
Could you build a heap with linked nodes? Yes, but you should use an array.
Why is adding a node to a heap an O(log n) operation? Elements are always added to the leaves and you traverse only one side.
Were the heap_up & heap_down methods useful? Why? Yes. It's best practice that when you perform an action over and over - you should have a helper method. Helper methods keep the code tidy and more readable.

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@CheezItMan CheezItMan left a comment

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Nice work Charlotte, you hit the learning goals here. Well done.

Comment on lines +2 to +5
# Time Complexity: O(n)
# Space Complexity: O(n)

def heapsort(list)

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👍 Adding an element to a heap takes O(log n) time and you're doing it n times... so the time complexity is O(n log n)

Comment on lines +17 to 19
# Time Complexity: O(log n)
# Space Complexity: O(log n)
def add(key, value = key)

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👍

Comment on lines +27 to 29
# Time Complexity: O(log n)
# Space Complexity: O(log n)
def remove()

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👍

Comment on lines +69 to 71
# Time complexity: O(log n)
# Space complexity: O(log n)
def heap_up(index)

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👍

Comment on lines +83 to 85
# Helper method takes an index and
# moves it up the heap if less than parent.
def heap_down(index)

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👍

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2 participants