Welcome to the Data Structures and Algorithms repository! This project is a comprehensive collection of fundamental data structures and algorithms implemented in an organized and educational manner. It serves as a reference and learning resource for students, professionals, and enthusiasts preparing for coding interviews or deepening their understanding of computer science fundamentals.
This repository contains implementations and examples of the following:
- Arrays
- Linked Lists
- Singly Linked List
- Doubly Linked List
- Circular Linked List
- Stacks
- Queues
- Circular Queue
- Priority Queue
- Trees
- Binary Trees
- Binary Search Trees (BST)
- Tree Traversals: Preorder, Inorder, Postorder
- Graphs
- Representation using adjacency list and matrix
- Breadth-First Search (BFS)
- Depth-First Search (DFS)
- Hash Tables
- Heaps
- Min Heap
- Max Heap
- Tries
-
Searching Algorithms
- Linear Search
- Binary Search
-
Sorting Algorithms
- Bubble Sort
- Selection Sort
- Insertion Sort
- Merge Sort
- Quick Sort
-
Recursion and Backtracking
-
Graph Algorithms
- BFS
- DFS
- Dijkstra's Algorithm
-
Tree Traversals
- Inorder
- Preorder
- Postorder
🚀 How to Use
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Clone the repository:
git clone https://github.com/Farhanulhaq19/Data-Structures-and-Algorithma.git cd Data-Structures-and-Algorithma Navigate to the folder of interest (e.g., Sorting, Trees, Graphs) and run the respective .cpp or .py files (depending on the implementation language used).
Each file is written in a simple, understandable manner with inline comments for clarity.
🎯 Goals Provide clean and readable implementations
Help users prepare for technical interviews
Serve as an educational reference for students
Explore different data structures through real code examples
💡 Contributing If you'd like to contribute by adding new data structures, optimizing existing code, or fixing bugs, feel free to open a Pull Request. Contributions are always welcome!
📄 License This project is licensed under the MIT License - see the LICENSE file for details.