Initial Release of Algo 🎉

Description:

We’re excited to launch the first official release of Algo! This version establishes the repository's foundational elements, providing essential algorithms, a streamlined folder structure, and initial documentation to get you started contributing. Whether you’re here to learn or share your expertise, this release begins our collaborative journey.

Highlights of v1.0.0:

• Core Algorithm Library: A collection of popular algorithms, including sorting algorithms (Quick Sort, Merge Sort, etc.), search algorithms (Binary Search, Linear Search), and data structure implementations (Linked Lists, Trees, etc.).
• Contributing Guidelines: Clear instructions on fork, branch, and submit pull requests to contribute effectively.
• Documentation:
  • Introductory guide on data structures and algorithms for new learners.
  • Well-documented code with comments and examples to make each algorithm understandable.
  • Resources for Markdown and Docusaurus to help with documentation contributions.
• Bug Reporting and Feature Request Templates: Users can easily report issues and request new features using our templates.

Installation:

To get started with Algo, clone the repository and follow the setup instructions in the README file.

$ git clone https://github.com/ajay-dhangar/algo.git

Next Steps:

Looking forward to adding more algorithms, documentation, and features in future releases! Join us by contributing new algorithms or enhancing the existing ones.

Known Issues:

• Limited initial algorithms – we encourage contributions to expand the library.
• Documentation is a work in progress; feel free to improve or add helpful resources.n issues.