Welcome to the Algorithms and Data Structures repository! This is a collection of various algorithms and data structures that I've been learning and exploring. I find these topics fascinating and thought it would be cool to save and share them here.
This repository is a personal project where I document the algorithms and data structures I've learned. It includes well-known algorithms, data structures, and some that are less common but equally interesting. Each algorithm and data structure is explained with examples and, when possible, implemented in code.
Learning algorithms and data structures is crucial for anyone interested in computer science, software development, or problem-solving in general. By saving and organizing these concepts, I can revisit them whenever I need to, and others who stumble upon this repository can learn from it as well.
Here's a brief overview of what you'll find in this repository:
- Searching Algorithms
- Binary Search
- Linear Search
- Recursive Binary Search
-** I will add many more soon <:
Each algorithm and data structure comes with:
- Explanation: A detailed explanation of how it works.
- Complexity Analysis: An analysis of time and space complexity.
- Code Implementation: A sample implementation in a programming language (e.g., Python, C++, Java).
- Examples: Example use cases to demonstrate how it can be applied.
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Clone the Repository:
git clone https://github.com/yourusername/algorithms-data-structures.git
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Navigate through the folders: Each folder is dedicated to a specific topic, with code and explanations.
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Run the Code: You can run the code examples directly or modify them to see how changes affect the results.
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Learn and Contribute: This repository is a learning resource. Feel free to study the code, improve it, or add new algorithms and data structures.
Contributions are welcome! If you have an algorithm or data structure you'd like to add, or if you want to improve existing content, please follow these steps:
- Fork the repository.
- Create a new branch (
git checkout -b new-feature
). - Make your changes and commit them (
git commit -m 'Add new feature'
). - Push to the branch (
git push origin new-feature
). - Create a pull request.
Please make sure your contributions are well-documented and tested.
This project is licensed under the MIT License. See the LICENSE file for details.
If you have any questions, suggestions, or feedback, feel free to reach out!
- GitHub: RadoslavPetkow
- Email: radigoig@gmail.com
Happy coding and learning!