Data Structures and Algorithms in C

Welcome to the Data Structures and Algorithms in C repository! This repository aims to provide comprehensive resources for learning and practicing various data structures and algorithms using the C programming language. Whether you're a beginner or looking to refresh your knowledge, this repository will guide you through fundamental concepts and help you strengthen your problem-solving skills.

Table of Contents

• Introduction
• Data Structures
• Algorithms
• Problem-Solving Patterns
• Getting Started
• Contributing
• License

Introduction

Understanding data structures and algorithms is crucial for any programmer or computer scientist. This repository is designed to offer clear explanations, example implementations, and exercises for a variety of data structures and algorithms using C.

Data Structures

This repository covers the following major data structures:

• Arrays
• Linked Lists (Singly, Doubly, Circular)
• Stacks
• Queues
• Trees (Binary Trees, Binary Search Trees, AVL Trees, etc.)
• Heaps
• Hash Tables
• Graphs

Each data structure comes with detailed explanations, visualizations, and C code implementations.

Algorithms

The repository covers a wide range of algorithms, including:

• Sorting Algorithms (Bubble Sort, Insertion Sort, Merge Sort, Quick Sort, etc.)
• Searching Algorithms (Linear Search, Binary Search)
• Graph Algorithms (Breadth-First Search, Depth-First Search, Dijkstra's Algorithm, etc.)
• Recursion and Backtracking
• Dynamic Programming
• Greedy Algorithms

Each algorithm is explained thoroughly, and C code implementations are provided for better understanding.

Problem-Solving Patterns

The following are 20 major problem-solving patterns that developers are expected to know:

1. Brute Force
2. Greedy Algorithms
3. Divide and Conquer
4. Dynamic Programming
5. Backtracking
6. Sliding Window
7. Two Pointers
8. Floyd-Warshall Algorithm
9. Breadth-First Search (BFS)
10. Depth-First Search (DFS)
11. Topological Sort
12. Binary Search
13. Merge Sort
14. Quick Sort
15. Minimum Spanning Tree
16. Hashing
17. Trie
18. Graph Traversal
19. Bit Manipulation
20. Segment Trees

These problem-solving patterns provide valuable strategies for approaching a wide variety of algorithmic challenges. Developers often use a combination of these patterns to devise effective and efficient solutions to different problems.

Getting Started

To start learning and practicing, follow these steps:

1. Clone this repository using git clone https://github.com/sir-george2500/DSA_C.git
2. Browse the data-structures and algorithms directories for detailed explanations and C implementations.
3. Explore code examples, try modifying them, and run them to see how they work.
4. Complete exercises provided in each section to reinforce your understanding.

Contributing

Contributions are welcome! If you find errors, have suggestions for improvements, or want to add new content, feel free to submit pull requests. Make sure to follow the repository's guidelines for contribution.

License

This repository is licensed under the MIT License. You are free to use the content for personal or educational purposes.

Happy learning and coding!