[Very Important Coding Interviews: Trees and Advanced Trees#08] How To Solve ANY Trees and Advanced Trees Programming Question ( Pattern Approach with Shortcuts) : How it Works ( Implementation Code)

Everything you MUST know to solve any Trees and Advanced Trees question...

This is the best hands-on guide you will ever find on Trees and Advanced Trees which follows Pattern based Approach to Solve any Trees and Advanced Trees questions and Shortcuts You MUST READ and Implement.

Objective : Master all Trees and Advanced Trees patterns that appear in 100% of coding interview problems.

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Table of Contents

1. Tree Traversal Patterns

2. Level Order Traversal (BFS)

3. Tree Height and Depth

4. Tree Diameter

5. Balanced Tree Validation

6. Same Tree and Subtree

7. Lowest Common Ancestor (LCA)

8. Path Sum Patterns

9. Tree Construction

10. Serialize and Deserialize

11. Binary Search Tree (BST) Patterns

12. Trie (Prefix Tree)

13. Segment Tree

14. Binary Indexed Tree (Fenwick Tree)

15. Advanced Tree DP

Note : Each pattern comes with its Python Implementation ( can be found as you scroll) and at the end of thus post along with Trees and Advanced Trees Shortcuts and problem examples.

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Tree Traversal Patterns

Pattern Description

Tree traversal is the fundamental operation of visiting all nodes in a tree systematically. The three main DFS traversal patterns are:

• Inorder (Left-Root-Right): Visits left subtree, then root, then right subtree

• Preorder (Root-Left-Right): Visits root first, then left subtree, then right subtree

• Postorder (Left-Right-Root): Visits left subtree, right subtree, then root

Pattern Recognition Strategies with Implementation and (many) shortcutts-