Welcome to the Algorithm Repository! This repository is a collection of various algorithms implemented in python. The primary purpose of this repo is to serve as a reference and a learning resource for those interested in understanding and implementing different algorithms.
This repository contains a wide range of algorithms, from basic ones like sorting and searching, to more complex algorithms such as graph traversal and dynamic programming. Each algorithm is implemented with clear, concise code and is accompanied by documentation explaining how it works.
To get started with this repository, simply clone the repository to your local machine:
git clone https://github.comNavigate to the folder of the algorithm you’re interested in, and run the code.
The repository is organized by algorithm type. The general structure is as follows:
python-algorithm-repo/
│
├── sorting/
│ ├── bubble_sort
│
│
│
│
│
│
│
├──searching/
│ ├── binary_search
│
│
│
│
├── graph_algorithms/
│ ├── dijkstra
│
│
│
│
└── dynamic_programming/
├── fibonacci
Some of the categories of algorithms included in this repository are:
• Sorting Algorithms: Bubble Sort, Quick Sort, Merge Sort, etc.
• Searching Algorithms: Binary Search, Linear Search, etc.
• Graph Algorithms: Depth-First Search (DFS), Breadth-First Search (BFS), Dijkstra’s Algorithm, etc.
• Dynamic Programming: Fibonacci Sequence, Knapsack Problem, etc.
• String Algorithms: KMP Pattern Matching, Rabin-Karp, etc.
Contributions are welcome! If you’d like to contribute:
1. Fork the repository.
2. Create a new branch for your feature or bugfix.
3. Commit your changes with clear and descriptive commit messages.
4. Push your changes to your fork.
5. Submit a pull request to this repository.
Please ensure that your code is well-documented and follows the style guidelines of the language you’re using.
This repository is licensed under the MIT License. See the LICENSE file for more details.
Happy coding!