This repository contains implementations of various data structures and algorithms in different programming languages. It serves as a resource for learning and practicing fundamental concepts of data structures and algorithms.
The field of data structures and algorithms is fundamental in computer science and plays a crucial role in software development. This repository aims to provide clear and concise implementations of common data structures and algorithms, accompanied by explanations and example usage.
The following data structures are currently implemented in this repository:
- Linked List
- Stack
- Queue
- Binary Search Tree
- Heap
- Hash Table
- Graph
- Trie
Each data structure has its own directory containing the implementation code along with documentation and usage examples.
The following algorithms are currently implemented in this repository:
- Sorting Algorithms (e.g., Bubble Sort, Insertion Sort, Merge Sort, Quick Sort)
- Searching Algorithms (e.g., Linear Search, Binary Search)
- Graph Algorithms (e.g., Depth-First Search, Breadth-First Search, Dijkstra's Algorithm)
- Dynamic Programming Algorithms
- Greedy Algorithms
Similar to data structures, algorithms have their own directory with implementation code, explanations, and example usage.
Contributions to this repository are welcome! If you find a bug, have an improvement suggestion, or want to add new data structures or algorithms, please follow the guidelines outlined in the CONTRIBUTING.md file.
This project is licensed under the MIT License. Feel free to use, modify, and distribute the code for personal or commercial purposes.