https://github.com/kawser2133/data-structures-and-algorithms

Data Structures and Algorithms - This repository is a collection of commonly used data structures and algorithms implemented in C#.
https://github.com/kawser2133/data-structures-and-algorithms

algorithms csharp data-structures data-structures-and-algorithms dsa

Last synced: about 15 hours ago
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Data Structures and Algorithms - This repository is a collection of commonly used data structures and algorithms implemented in C#.

• Host: GitHub
• URL: https://github.com/kawser2133/data-structures-and-algorithms
• Owner: kawser2133
• Created: 2023-09-29T05:15:19.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-08T08:22:38.000Z (about 1 year ago)
• Last Synced: 2024-01-26T10:39:45.538Z (10 months ago)
• Topics: algorithms, csharp, data-structures, data-structures-and-algorithms, dsa
• Language: C#
• Homepage:
• Size: 21.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Structures and Algorithms in C#

Welcome to the Data Structures and Algorithms in C# repository! This repository is a collection of commonly used data structures and algorithms implemented in C#. Whether you're a beginner looking to learn about fundamental concepts or an experienced developer seeking efficient implementations, you'll find valuable resources here.

## Contents

- **Data Structures**: Explore various data structures such as arrays, linked lists, stacks, queues, trees, and graphs.

  

- **Algorithms**: Find well-documented algorithms including sorting, searching, dynamic programming, and more.

- **Examples**: Practical examples and use cases to demonstrate how these data structures and algorithms work in real-world scenarios.

- **Complexity Analysis**: Understand time and space complexity to evaluate algorithm efficiency.

## Getting Started

1. Clone this repository to your local machine.

2. Browse the data structures and algorithms folders to find the topic you're interested in.

3. Dive into the code, documentation, and examples to enhance your understanding.