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Data Structures & Algorithms C# License Last Updated


πŸ“Š Data Structures & Algorithms in C#

πŸŽ“ Professional Learning & Implementation Guide

Comprehensive Guide to Mastering Data Structures and Algorithms using C#

Professional C# 100% Maintained


Data Structures and Algorithms in C# banner

A complete learning resource featuring implementations, theory, and practical examples of essential data structures and algorithms.

Get Started β€’ Documentation β€’ Topics β€’ Contribute


🎯 Overview

This repository is a comprehensive educational resource for learning and implementing Data Structures and Algorithms using C#. Whether you're a beginner or an experienced developer preparing for technical interviews, you'll find well-documented, production-ready implementations with detailed explanations.

Key Features

  • βœ… Well-documented code with comments and explanations
  • βœ… Theory and practice combined for deeper understanding
  • βœ… Multiple data structures implementations
  • βœ… Algorithm implementations with complexity analysis
  • βœ… Real-world examples and use cases
  • βœ… Time & Space Complexity analysis for each topic
  • βœ… Production-ready code following industry standards

πŸ“š Documentation

What are Data Structures?

Data Structures are specialized formats for organizing, managing, and storing data in a way that enables efficient access and modification.

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚              DATA STRUCTURES                             β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚                                                           β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”‚
β”‚  β”‚ PRIMITIVE            β”‚  β”‚ ABSTRACT             β”‚    β”‚
β”‚  β”‚                      β”‚  β”‚                      β”‚    β”‚
β”‚  β”‚ β€’ int                β”‚  β”‚ β€’ Array              β”‚    β”‚
β”‚  β”‚ β€’ float              β”‚  β”‚ β€’ Linked List        β”‚    β”‚
β”‚  β”‚ β€’ char               β”‚  β”‚ β€’ Stack              β”‚    β”‚
β”‚  β”‚ β€’ bool               β”‚  β”‚ β€’ Queue              β”‚    β”‚
β”‚  β”‚ β€’ double             β”‚  β”‚ β€’ Tree               β”‚    β”‚
β”‚  β”‚                      β”‚  β”‚ β€’ Graph              β”‚    β”‚
β”‚  β”‚ (Single value)       β”‚  β”‚ β€’ Hash Table         β”‚    β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β”‚
β”‚                                                           β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

What are Algorithms?

Algorithms are step-by-step procedures or formulas for solving a problem or completing a task, often involving searching and manipulating data structures.

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚              ALGORITHM CATEGORIES                        β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚                                                           β”‚
β”‚  β€’ Sorting (Bubble, Quick, Merge, Heap, etc.)           β”‚
β”‚  β€’ Searching (Binary Search, Linear Search)             β”‚
β”‚  β€’ Graph Algorithms (DFS, BFS, Dijkstra)                β”‚
β”‚  β€’ Dynamic Programming                                  β”‚
β”‚  β€’ Greedy Algorithms                                    β”‚
β”‚  β€’ Divide & Conquer                                     β”‚
β”‚  β€’ Backtracking                                         β”‚
β”‚                                                           β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

πŸ“– Core Concepts & Terminology

Term Description
Algorithm A set of step-by-step instructions to solve a specific problem
Data Structure A way of organizing data so it can be used efficiently
Time Complexity Measure of the amount of time an algorithm takes to run
Space Complexity Measure of the amount of memory an algorithm uses
Big O Notation Mathematical notation describing algorithm performance (O(1), O(n), O(nΒ²), etc.)
Recursion A technique where a function calls itself
Divide and Conquer Breaking complex problems into smaller sub-problems
Brute Force Trying all possible solutions to find the best one
Optimization Improving algorithm efficiency in time or space

πŸ“Š Topics Covered

1. Linear Data Structures

ARRAY
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  [0]    β”‚  [1]    β”‚  [2]    β”‚  [3]    β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

LINKED LIST
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”     β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”     β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”
β”‚  Data   │──┼────→│  Data   │──┼────→│  Data   β”‚ NULLβ”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”˜     β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”˜     β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”˜

STACK (LIFO - Last In First Out)
     β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”
     β”‚ TOP [3] β”‚
     β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
     β”‚ [2]     β”‚
     β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
     β”‚ [1]     β”‚
     β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
     β”‚ [0]     β”‚
     β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

QUEUE (FIFO - First In First Out)
FRONT [1] β†’ [2] β†’ [3] β†’ [4] REAR

2. Tree Data Structures

BINARY TREE
        β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”
        β”‚    1    β”‚
        β””β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”˜
             β”‚
        β”Œβ”€β”€β”€β”€β”΄β”€β”€β”€β”€β”
        β”‚         β”‚
    β”Œβ”€β”€β”€β”΄β”€β”€β”€β” β”Œβ”€β”€β”€β”΄β”€β”€β”€β”
    β”‚   2   β”‚ β”‚   3   β”‚
    β””β”€β”¬β”€β”€β”€β”¬β”€β”˜ └──────
      β”‚   β”‚
   β”Œβ”€β”€β”˜   └──┐
   β”‚         β”‚
 β”Œβ”€β”΄β”€β”     β”Œβ”€β”΄β”€β”
 β”‚ 4 β”‚     β”‚ 5 β”‚
 β””β”€β”€β”€β”˜     β””β”€β”€β”€β”˜

BINARY SEARCH TREE (BST)
        β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”
        β”‚    10   β”‚
        β””β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”˜
             β”‚
        β”Œβ”€β”€β”€β”€β”΄β”€β”€β”€β”€β”
        β”‚         β”‚
    β”Œβ”€β”€β”€β”΄β”€β”€β”€β” β”Œβ”€β”€β”€β”΄β”€β”€β”€β”€β”
    β”‚   5   β”‚ β”‚   15   β”‚
    β””β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”˜
                  β”‚
            β”Œβ”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”
            β”‚           β”‚
        β”Œβ”€β”€β”€β”΄β”€β”€β”€β”   β”Œβ”€β”€β”€β”΄β”€β”€β”€β”
        β”‚  12   β”‚   β”‚  20   β”‚
        β””β”€β”€β”€β”€β”€β”€β”€β”˜   β””β”€β”€β”€β”€β”€β”€β”€β”˜

3. Hash-Based Structures

HASH TABLE (Hash Map)
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  Hash Table with Buckets     β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚ [0] β†’ [bucket]               β”‚
β”‚ [1] β†’ [bucket] β†’ [bucket]   β”‚
β”‚ [2] β†’ [bucket]               β”‚
β”‚ [3] β†’ NULL                   β”‚
β”‚ [4] β†’ [bucket]               β”‚
β”‚ ... β†’ ...                    β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

4. Graph Structures

UNDIRECTED GRAPH
    (A) ─── (B)
     β”‚ \   / β”‚
     β”‚  \ /  β”‚
     β”‚  (C)  β”‚
     β”‚  / \  β”‚
     β”‚ /   \ β”‚
    (D) ─── (E)

DIRECTED GRAPH (DAG)
    (A) ──→ (B) ──→ (C)
     β”‚       β”‚       ↑
     β”‚       └──────→│
     └──────────────→(D)

πŸŽ“ Learning Path

Beginner Level

  1. Arrays and Lists
  2. Strings
  3. Stacks and Queues
  4. Basic Sorting Algorithms
  5. Basic Searching Algorithms

Intermediate Level

  1. Linked Lists
  2. Trees and Binary Search Trees
  3. Heaps and Priority Queues
  4. Hash Tables
  5. Advanced Sorting (Merge Sort, Quick Sort)

Advanced Level

  1. Graphs and Graph Traversal
  2. Dynamic Programming
  3. Greedy Algorithms
  4. Backtracking
  5. NP Problems and Approximation

⚑ Complexity Analysis

Big O Time Complexities

Complexity Name Example
O(1) Constant Array access by index
O(log n) Logarithmic Binary search
O(n) Linear Simple loop
O(n log n) Linearithmic Merge sort, Quick sort
O(nΒ²) Quadratic Bubble sort, Selection sort
O(nΒ³) Cubic Triple nested loop
O(2ⁿ) Exponential Fibonacci (naive)
O(n!) Factorial Permutations

Algorithm Complexity Comparison

         Operations
              β”‚
         O(n!)β”‚     β•±
              β”‚    β•±
         O(2ⁿ)β”‚   β•±
              β”‚  β•±
          O(nΒ³)β”‚β•± 
              β”‚β•±
         O(nΒ²)│━━━━━━
              β”‚\
       O(n log n)β”‚ \
              β”‚   \
           O(n)β”‚    \
              β”‚      \
          O(log n)β”‚   \
              β”‚        \
            O(1)β”œβ”€β”€β”€β”€β”€β”€β”€β”€\────────
              β”‚          
              └─────────────────── n (Input Size)

πŸš€ Quick Start

Prerequisites

  • .NET SDK (version 6.0 or higher)
  • C# knowledge (basics)
  • Any IDE (Visual Studio, Visual Studio Code, or Rider)

Installation

# Clone the repository
git clone https://github.com/ZainulabdeenOfficial/Data-Structures-and-Algorithms-C-Sharp-.git

# Navigate to the project
cd Data-Structures-and-Algorithms-C-Sharp-

# Build the project
dotnet build

# Run examples
dotnet run

πŸ“ Repository Structure

Data-Structures-and-Algorithms-C-Sharp-/
β”‚
β”œβ”€β”€ README.md                 # Main documentation (you are here)
β”œβ”€β”€ Theory.md                 # Detailed theory explanations
β”œβ”€β”€ LICENSE                   # GPL 3.0 License
β”‚
β”œβ”€β”€ DataStructures/
β”‚   β”œβ”€β”€ Arrays/
β”‚   β”œβ”€β”€ LinkedLists/
β”‚   β”œβ”€β”€ Stacks/
β”‚   β”œβ”€β”€ Queues/
β”‚   β”œβ”€β”€ Trees/
β”‚   β”œβ”€β”€ Graphs/
β”‚   └── HashTables/
β”‚
└── Algorithms/
    β”œβ”€β”€ Sorting/
    β”œβ”€β”€ Searching/
    β”œβ”€β”€ DynamicProgramming/
    β”œβ”€β”€ GraphAlgorithms/
    └── Other/

πŸ’‘ Use Cases & Applications

Real-World Applications of Data Structures & Algorithms

Data Structure Use Case
Array Storing collections, matrix operations, cache
Linked List Music player playlists, browser history
Stack Function call stack, undo/redo functionality
Queue Print queue, task scheduling, BFS
Tree File systems, DOM structure, databases
Graph Social networks, GPS navigation, web crawlers
Hash Table Caching, indexing, database operations
Heap Priority queues, heap sort, Dijkstra's algorithm

πŸ“Š Algorithm Categories & Examples

Sorting Algorithms

Bubble Sort:    O(nΒ²) average, O(nΒ²) worst
Selection Sort: O(nΒ²) average, O(nΒ²) worst
Insertion Sort: O(nΒ²) average, O(nΒ²) worst
Merge Sort:     O(n log n) average, O(n log n) worst
Quick Sort:     O(n log n) average, O(nΒ²) worst
Heap Sort:      O(n log n) average, O(n log n) worst

Searching Algorithms

Linear Search:  O(n) time complexity
Binary Search:  O(log n) time complexity (requires sorted array)

Graph Algorithms

BFS (Breadth-First Search):  O(V + E)
DFS (Depth-First Search):    O(V + E)
Dijkstra's Algorithm:        O((V + E) log V)
Floyd-Warshall:              O(VΒ³)

🀝 Contributing

We welcome contributions! Here's how you can help:

  1. Fork the repository
  2. Create a new branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Contribution Guidelines

  • Follow C# naming conventions
  • Add comments and documentation
  • Include time and space complexity analysis
  • Add example use cases
  • Update README if adding new topics

πŸ“š Additional Resources

Online Platforms

Books

  • "Introduction to Algorithms" - Cormen, Leiserson, Rivest, Stein
  • "Cracking the Coding Interview" - Gayle Laakmann McDowell
  • "The Algorithm Design Manual" - Steven Skiena

YouTube Channels

  • Kunal Kushwaha
  • Abdul Bari
  • Striver (DSA in C++)
  • Code with Harry

πŸ“ License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.


πŸ‘¨β€πŸ’» Author

Zainulabedin


⭐ Support

If you find this repository helpful:

  • ⭐ Star the repository
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πŸ“ž Get in Touch

Have questions or suggestions? Feel free to:


Made with ❀️ for the developer community

Happy Learning! πŸš€

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A C# repository focused on implementing core data structures and algorithms for learning and practice.

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