DSA · Theory

Difference between Tree and Graph

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Theory

72/810

Difference between Tree and Graph

Difference between Tree and Graph is a DSA idea you prove with folder on disk, not with a slogan.

Difference between Tree and Graph on the board: left < root < right. Then say what folder on disk looks like after.

Difference between Tree and Graph exists so Farhan can keep folder on disk correct in a file explorer.

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

If folder on disk breaks under Difference between Tree and Graph, check unbalanced BST becoming a list first.

Place Difference between Tree and Graph next to nearby DSA work — left < root < right is the link.

Viva for Difference between Tree and Graph: what it is → left < root < right → the mistake (unbalanced BST becoming a list).

Exam tip

For Difference between Tree and Graph: definition + a file explorer + one failure.

Example

# adjacency list
graph = {
    "A": [("B", 2), ("C", 5)],
    "B": [("A", 2), ("C", 1)],
    "C": [("A", 5), ("B", 1)],
}
for u, edges in graph.items():
    print(u, "->", edges)

Difference between Tree and Graph — graphs are often stored as adjacency lists: vertex → list of (neighbor, weight).

Short notes

DefDifference between Tree and Graph — Farhan uses it for folder on disk in a file explorer.
RuleDifference between Tree and Graph → left < root < right.
RememberDifference between Tree and Graph + a dry-run table (a file explorer).
UseDifference between Tree and Graph in a file explorer (folder on disk).
TrapDifference between Tree and Graph — unbalanced BST becoming a list.
ExDifference between Tree and Graph → folder on disk.

DSA · Theory

Difference between Tree and Graph

← All stacks

Theory

72/810

Difference between Tree and Graph

Difference between Tree and Graph is a DSA idea you prove with folder on disk, not with a slogan.

Difference between Tree and Graph on the board: left < root < right. Then say what folder on disk looks like after.

Difference between Tree and Graph exists so Farhan can keep folder on disk correct in a file explorer.

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

If folder on disk breaks under Difference between Tree and Graph, check unbalanced BST becoming a list first.

Place Difference between Tree and Graph next to nearby DSA work — left < root < right is the link.

Viva for Difference between Tree and Graph: what it is → left < root < right → the mistake (unbalanced BST becoming a list).

Exam tip

For Difference between Tree and Graph: definition + a file explorer + one failure.

Example

# adjacency list
graph = {
    "A": [("B", 2), ("C", 5)],
    "B": [("A", 2), ("C", 1)],
    "C": [("A", 5), ("B", 1)],
}
for u, edges in graph.items():
    print(u, "->", edges)

Difference between Tree and Graph — graphs are often stored as adjacency lists: vertex → list of (neighbor, weight).

Short notes

DefDifference between Tree and Graph — Farhan uses it for folder on disk in a file explorer.
RuleDifference between Tree and Graph → left < root < right.
RememberDifference between Tree and Graph + a dry-run table (a file explorer).
UseDifference between Tree and Graph in a file explorer (folder on disk).
TrapDifference between Tree and Graph — unbalanced BST becoming a list.
ExDifference between Tree and Graph → folder on disk.

Difference between Tree and Graph

Example

Short notes

Questions

Difference between Tree and Graph

Example

Short notes

Questions