Learn and practice the Tree Depth-First Search and Tree Breadth-First Search patterns to solve coding interview problems.

Educative-99 in Python: Accelerate Your Coding Interview Prep

Trees play a pivotal role in organizing hierarchical data, optimizing searches, and solving complex problems. In this module, we’ll learn to choose the appropriate tree for a given problem and apply the more appropriate of the two major traversal techniques, breadth-first or depth-first, to solve it.

Trees

# Statement

Given the root of a binary tree, display the values of its nodes while performing a level order traversal. Return the node values for all levels in a string separated by the character `:`. If the tree is empty, i.e., the number of nodes is $0$, then return "None" as the output.

**Constraints:**

- The number of nodes in the tree is in the range $[0, 500]$.

- $-10^3 \leq$ `Node.data` $\leq 10^3$

# Examples

Try to solve the Binary Tree Level Order Traversal problem.

Level Order Traversal of Binary Tree

Statement