Stack and queue are both fundamental data structures with distinct characteristics in terms of data handling, operations, and typical use cases.

Data Handling:

– Stack: Follows the Last-In-First-Out (LIFO) principle, where the last element added is the first to be removed. New elements are added or removed from the top of the stack.

– Queue: Follows the First-In-First-Out (FIFO) principle, where the first element added is the first to be removed. New elements are added at the rear, and removal occurs from the front of the queue.

Operations:

– Stack: Typically supports operations such as push (to add an element), pop (to remove the top element), and peek (to view the top element without removal).

– Queue: Typical operations include enqueue (to add an element to the rear), dequeue (to remove the front element), and peek (to view the front element without removal).

Typical Use Cases:

– Stack: Commonly used for functions call management in programming, backtracking in algorithms, and undo functionalities in applications.

– Queue: Often employed in scenarios like job scheduling, breadth-first search in graph traversal, and task processing in concurrent systems.

In summary, while both stack and queue are used for managing data, they differ in their handling principles, operations, and typical use cases, making them suitable for distinct applications based on their specific characteristics.