Introduction to Data Structure

Identification and Importance

• Data Structure — A method to collect and organize data.
  • Reliability — Data should be stored and organized so that programs and users can easily access it.

Types

1. Primitive Data Structure

• Integer
  • Float
  • Character
  • Pointer

2. Non-Primitive Data Structure

• Linear Data Structure
  • Array
  • List
  • Stack
  • Queue
  • Non-Linear Data Structure
    • Tree
    • Graph

Linear Data Structure

• Arranges data in a sequence.
  • Example — Array 12345 or 54321.

Non-Linear Data Structure

• Arranges data irregularly.
  • Example — Multi-level nodes in graphs and trees.

Operations

• Traversal — Accessing an element.
• Insertion — Adding a new element.
• Deletion — Removing an element.
• Searching — Finding a specific element.
• Sorting — Arranging data in order (ascending/descending).
• Updation — Updating the data.

Advantages

• Efficiency — Designing data structures makes the process easy and efficient.
• Reusability — Data can be used multiple times without repetition.

In the Next Video

• In-depth study of various data structures like arrays, lists, stacks, and queues.

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