Pre-Order Traversal

Explore the pre-order traversal technique for binary trees, where nodes are visited in root-left-right order. Understand the algorithm's recursive nature, see Python code examples, and analyze its linear time complexity to grasp how this traversal works in practice.

We'll cover the following...

Introduction
Implementation in Python
- Explanation
- Time Complexity

Introduction #

In this traversal, the elements are traversed in “root-left-right” order. We first visit the root/parent node, then the left child, and then the right child. Here is a high-level description of the algorithm for Pre-Order traversal, starting from the root node:

Visit the current node, i.e., print the value stored at the node
Call the preOrderPrint() function on the left sub-tree of the ‘current Node’.
Call the preOrderPrint() function on the right sub-tree of the ‘current Node’.

1.Introduction to Complexity Measures

2.Introduction to Lists

3.Introduction to Linked Lists

4.Introduction to Stacks and Queues

5.Introduction to Graphs

6.Introduction to Trees

7.Trie

8.Introduction to Heap

9.Introduction to Hashing

10.Summary of Data Structures

Mock Interview

Pre-Order Traversal

Introduction #

Implementation in Python