What is Data Structure?
Data Structure is a way of organizing, storing, and managing data so that it can be accessed and modified efficiently.
In simple terms, a data structure defines how data is arranged in memory and how different operations (like insertion, deletion, searching, and sorting) can be performed effectively on that data.
Why Data Structure?
Efficient Data Access – Helps retrieve and process data quickly.
Optimized Performance – Minimizes memory usage and processing time.
Reusability – Common data structures (like stacks, queues, trees) can be reused across different applications.
Better Problem Solving – Data structures are fundamental in designing efficient algorithms.
Scalability – Helps handle large amounts of data efficiently.
Types of Data Structures:
- Linear Data Structures
Elements are arranged sequentially.
- Array – Collection of elements of the same type stored at contiguous memory locations.
- Linked List – Collection of nodes connected by pointers.
- Stack – Follows LIFO (Last In First Out) principle.
- Queue – Follows FIFO (First In First Out) principle.
- Non-Linear Data Structures
Elements are arranged hierarchically or graph-like.
- Tree – Hierarchical structure with nodes (e.g., Binary Tree, BST).
- Graph – Collection of nodes (vertices) connected by edges.
- Hash-Based Data Structures
- Hash Table / Hash Map – Stores key–value pairs for fast lookup.
Common Operations on Data Structures:
- Insertion
- Deletion
- Traversal
- Searching
- Sorting
- Updating