Tree Basics
Understand tree terminology, binary tree structure, and basic tree operations.
Understand tree terminology, binary tree structure, and basic tree operations. This hands-on tutorial focuses on practical implementation of tree basics concepts.
Tree Basics
Trees are hierarchical data structures with a root and child nodes. They model natural hierarchies like file systems and organization charts.
Terminology
Tree Terminology
- Root: The top node of the tree (1).
- Edge: The link between two nodes.
- Parent/Child: Node 1 is the parent of 2 and 3.
- Leaf: A node with no children (4, 5, 3).
- Height: The number of edges on the longest path from the node to a leaf.
- Depth: The number of edges from the root to the node.
Binary Tree
Each node has at most 2 children.
class TreeNode:
def __init__(self, val=0):
self.val = val
self.left = None
self.right = None
AI Mentor
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Quiz
Quiz
Question 1 of 1What is a leaf node?
Key Takeaways
✅ Hierarchical structure - root, children, leaves
✅ Binary tree - at most 2 children per node
✅ Recursive operations - naturally suited for trees
Perfect for hierarchical data like file systems! 🚀