Thursday, April 2, 2026

Data Structure Notes in Computer | Types, Examples | ComputerGS

 

📚 Data Structure – Complete Notes | ComputerGS



🔷 What is Data Structure?

A Data Structure is a way of organizing, storing, and managing data so that it can be accessed and modified efficiently.

👉 It helps in improving performance and reducing complexity in programs.


🔷 Definition

👉 “Data Structure is a systematic way of organizing data in memory to perform operations efficiently.”


🔷 Types of Data Structure

1. Linear Data Structure

👉 Elements are arranged sequentially (one after another)

✔ Examples:

  • Array

  • Linked List

  • Stack

  • Queue


2. Non-Linear Data Structure

👉 Elements are arranged hierarchically or interconnected

✔ Examples:

  • Tree

  • Graph


🔷 Basic Data Structures

1. Array

👉 Collection of elements stored at contiguous memory locations

✔ Features:

  • Fixed size

  • Fast access using index


2. Linked List

👉 Collection of nodes where each node contains data + pointer

✔ Types:

  • Singly Linked List

  • Doubly Linked List

  • Circular Linked List


3. Stack (LIFO)

👉 Last In First Out principle

✔ Operations:

  • Push (Insert)

  • Pop (Delete)

📌 Example: Plate stack


4. Queue (FIFO)

👉 First In First Out principle

✔ Operations:

  • Enqueue (Insert)

  • Dequeue (Delete)

📌 Example: Line at ticket counter


5. Tree

👉 Hierarchical structure with root and child nodes

✔ Types:

  • Binary Tree

  • Binary Search Tree


6. Graph

👉 Collection of vertices (nodes) and edges

✔ Used in networks, maps, social media


🔷 Operations on Data Structure

✔ Insertion
✔ Deletion
✔ Traversal
✔ Searching
✔ Sorting


🔷 Classification (Simple View)

TypeStructure StyleExamples
LinearSequentialArray, Stack, Queue
Non-LinearHierarchicalTree, Graph

🔷 Advantages of Data Structures

✔ Efficient data management
✔ Faster processing
✔ Better memory utilization
✔ Helps in algorithm design


🔷 Disadvantages

❌ Complex implementation
❌ Requires more memory (sometimes)
❌ Needs good understanding


🔷 Applications

✔ Database Management Systems (DBMS)
✔ Operating Systems
✔ Artificial Intelligence
✔ Networking
✔ Compiler Design


🔷 Important Exam Points

⭐ Data structure organizes data efficiently
⭐ Stack follows LIFO, Queue follows FIFO
⭐ Array uses contiguous memory
⭐ Tree & Graph are non-linear structures
⭐ Linked List uses pointers


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