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DSA · Theory

B Tree

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Theory

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B Tree

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

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

Without B Tree, a file explorer gets messy and folder on disk is hard to trust.

B Tree shows up in a file explorer. Name folder on disk, not “a real-world scenario”.

B Tree miss — unbalanced BST becoming a list. Fix it before you talk about advanced DSA.

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

Viva for B Tree — what it is → left < root < right → the mistake (unbalanced BST becoming a list).

Exam tip

For B Tree: definition + a file explorer + one failure.

Example

# B Tree
data = [4, 1, 3]
print("start", data)
if data[0] > data[1]:
    data[0], data[1] = data[1], data[0]
print("after one step", data)

B Tree: dry-run [4, 1, 3]. Say the list after one step.

Short notes

  • DefB Tree — Meera uses it for folder on disk in a file explorer.
  • RuleB Tree → left < root < right.
  • RememberB Tree + a dry-run table (a file explorer).
  • UseB Tree in a file explorer (folder on disk).
  • TrapB Tree — unbalanced BST becoming a list.
  • ExB Tree → folder on disk.

Questions

1

Meera asks: why does B Tree exist? Use folder on disk.

2

Name one DSA screen/job that needs B Tree.

3

Viva: one wrong answer people give for B Tree.

4

Change one input on folder on disk. Predict the new result.

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