<a target="_blank" href="https://www.almabetter.com/bytes/articles/traversing-in-data-structure">Traversing in data structures</a> refers to the process of visiting and processing each element or node in a data structure in a systematic way. It involves accessing and examining data items to perform specific operations like searching, printing, or modifying.
Examples of traversing include:
<ol>
<li>Tree traversal: Inorder, Preorder, Postorder traversal methods visit nodes in specific orders (left-root-right, root-left-right, left-right-root).
</li>
<li>Graph traversal: Depth-First Search (DFS) and Breadth-First Search (BFS) visit nodes in a graph to explore paths or find connectivity.
</li>
<li>Array traversal: Iterating through array elements to perform operations like summing values or searching for specific items.
</li>
</ol>
Traversing is fundamental for data manipulation and analysis in computer science.

[Traversing in data structures](https://www.almabetter.com/bytes/articles/traversing-in-data-structure) refers to the process of visiting and processing each element or node in a data structure in a systematic way. It involves accessing and examining data items to perform specific operations like searching, printing, or modifying.

Examples of traversing include:

1. Tree traversal: Inorder, Preorder, Postorder traversal methods visit nodes in specific orders (left-root-right, root-left-right, left-right-root).
    
2. Graph traversal: Depth-First Search (DFS) and Breadth-First Search (BFS) visit nodes in a graph to explore paths or find connectivity.
    
3. Array traversal: Iterating through array elements to perform operations like summing values or searching for specific items.
    

Traversing is fundamental for data manipulation and analysis in computer science.

What is Traversing in Data Structure? Examples and Types