π algorithm-learn - Learn Algorithms Easily with JavaScript

π Description
Welcome to algorithm-learn! This project helps you learn the basics of algorithmic thinking and advanced concepts in algorithms and data structures. It uses JavaScript as the implementation language. Whether youβre starting your journey or looking to deepen your knowledge, this project provides a clear path forward.
π Getting Started
To get started with algorithm-learn, follow the simple steps outlined below to download and run the application.
π₯ Download & Install
- Visit the Releases page to find the latest version of the application.
- Look for the version you want to download. Click on the download link for your operating system.
- Once the download completes, find the file in your Downloads folder.
- Double-click the file to begin the installation process.
- Follow the on-screen instructions to complete the installation.
After installation, you can launch the application from your Programs menu or desktop shortcut.
π Features
- User-friendly Interface: Designed for non-technical users, making it easy to start learning.
- Progressive Learning Path: Covers topics from basic to advanced, ensuring a smooth learning curve.
- Interactive Coding Examples: Practice algorithms directly within the application.
- Comprehensive Resource Materials: Gain access to guides and reference materials.
π§ System Requirements
- Operating System: Windows 10 or later, macOS 10.14 or later, or a popular Linux distribution.
- CPU: 2 GHz dual-core processor or faster.
- RAM: At least 4 GB recommended.
- Storage: 100 MB of free disk space.
- Browser: Any modern web browser for additional resources.
π Topics Covered
This application provides insights into a variety of key topics, including:
- Adjacency Matrix
- Algorithms
- Arrays
- Big O Notation
- Binary Search
- Binary Trees
- Bubble Sort
- Divide and Conquer
- Edges and Graphs
- FIFO and LIFO structures
- Linear Search
- Nodes and Pivots
- Recursion
- Scalability
- Sorting Algorithms
- Stack Concepts
- Stack Overflow
π¬ Support
If you encounter issues or have questions, please reach out via the Issues tab on the GitHub repository. The community and developers are eager to help.
π’ Stay Updated
Check the Releases page regularly for the latest updates and enhancements.
π§βπ» Contributing
Contributions are welcome! If you want to help improve algorithm-learn, please read the guidelines in the repository to ensure a pleasant collaboration experience.
πΊπ¦ Acknowledgments
Special thanks to the contributors and educators who have supported this project. Your efforts in growing the community of algorithm learners are invaluable.
Keep learning and exploring the world of algorithms!