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Binary Search Tree Implementation

Theory

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Binary Search Tree Implementation

Meera only reaches for Binary Search Tree Implementation when folder on disk has to stay correct in a file explorer.

Binary Search Tree Implementation order — meaning → left < root < right → one limit. Dumping ten features helps nobody.

Binary Search Tree Implementation exists so Meera can keep folder on disk correct in a file explorer.

Use Binary Search Tree Implementation when folder on disk must stay clear. If a simpler DSA step works, use that instead.

Binary Search Tree Implementation trap — unbalanced BST becoming a list. Meera loses marks for that every viva.

Place Binary Search Tree Implementation next to nearby DSA work — left < root < right is the link.

Viva for Binary Search Tree Implementation: what it is → left < root < right → the mistake (unbalanced BST becoming a list).

Diagram

Exam tip

For Binary Search Tree Implementation: definition + a file explorer + one failure.

Example

def binary_search(arr, target):
    lo, hi = 0, len(arr) - 1
    while lo <= hi:
        mid = (lo + hi) // 2
        if arr[mid] == target:
            return mid
        if arr[mid] < target:
            lo = mid + 1
        else:
            hi = mid - 1
    return -1

print(binary_search([1, 3, 5, 7, 9], 7))

Binary Search Tree Implementation — binary search halves a sorted array each step — O(log n).

Short notes

DefBinary Search Tree Implementation — Meera uses it for folder on disk in a file explorer.
RuleBinary Search Tree Implementation → left < root < right.
RememberBinary Search Tree Implementation + a dry-run table (a file explorer).
UseBinary Search Tree Implementation in a file explorer (folder on disk).
TrapBinary Search Tree Implementation — unbalanced BST becoming a list.
ExBinary Search Tree Implementation → folder on disk.

def binary_search(arr, target): lo, hi = 0, len(arr) - 1 while lo <= hi: mid = (lo + hi) // 2 if arr[mid] == target: return mid if arr[mid] < target: lo = mid + 1 else: hi = mid - 1 return -1 print(binary_search([1, 3, 5, 7, 9], 7))

Binary Search Tree Implementation

Example

Short notes

Questions

Binary Search Tree Implementation

Example

Short notes

Questions