Data Structures Guide 📚

Data structures are fundamental to efficient programming and problem-solving. They organize data in ways that make it easy to access and modify. Here's a quick overview of common data structures:

1. Basic Structures 🧱

• Array 📌
  A collection of elements indexed sequentially.
  

  

  Array
  
  Learn more about arrays

• Linked List ⚙️
  A linear data structure where elements are connected via nodes.
  

  

  Linked_List
  
  Explore linked list operations

• Stack 📦
  LIFO (Last In, First Out) structure used for recursion and expression evaluation.
  

  

  Stack
  
  See stack use cases

2. Advanced Structures 🌳

• Binary Tree 📊
  A hierarchical structure with nodes having up to two children.
  

  

  Binary_Tree
  
  Dive into binary tree traversal

• Hash Table 🔐
  Stores key-value pairs for fast data retrieval.
  

  

  Hash_Table
  
  Understand hash collisions

• Graph 🗺️
  Represents connections between nodes (vertices).
  

  

  Graph
  
  Study graph algorithms

3. Choosing the Right Structure 🎯

• Use arrays for fixed-size data.
• Prefer linked lists for dynamic data.
• Opt for stacks/queues in LIFO/FIFO scenarios.
• Trees and graphs for hierarchical or complex relationships.

For hands-on practice, try our Data Structure Exercises section! 🚀