Data structures are fundamental to efficient programming and problem-solving. Here’s a quick overview of common types:

Core Concepts 📘

  • Array
    A linear structure storing elements in contiguous memory.

    Array

  • Linked List
    A dynamic structure using nodes and pointers.

    Linked_List

  • Stack
    LIFO (Last In, First Out) principle for temporary data storage.

    Stack

  • Queue
    FIFO (First In, First Out) for task scheduling and buffering.

    Queue

  • Hash Table
    Key-value pairs with fast lookup via hashing.

    Hash_Table

  • Tree
    Hierarchical structure with root, branches, and leaves.

    Tree

  • Graph
    Nodes connected by edges, used for network modeling.

    Graph

Practical Applications 🧠

  • Arrays in databases for indexing
  • Trees in file systems for directory management
  • Graphs in social media for relationship mapping

For deeper exploration, check our Algorithms guide. 🚀