Algo version

📦 Algo v1.0.1 Release Notes

Release Date: 01-11-2024

🔥 What's New in v1.0.1

This release includes documentation updates, bug fixes, and some feature improvements to enhance the user experience for exploring algorithms. Thank you to everyone who contributed to this update!

✨ Updates and Improvements

• Enhanced Documentation:

  • Improved readability and clarity in core documentation sections.
  • Added detailed examples and explanations for key algorithms, including:
    • Sorting Algorithms: Step-by-step explanations and code samples for popular sorting algorithms.
    • Search Algorithms: Examples and complexity analysis.
  • Updated the "Getting Started" guide for new contributors and users.

• User Interface and Navigation:

  • Added new navigation links to improve access to different algorithm categories.
  • Modified sidebars for better organization of topics.

🐛 Bug Fixes

• Fixed incorrect time complexity notation in the Graph Algorithms section.
• Addressed UI issue on smaller screens for improved mobile responsiveness.

📖 Documentation Modifications

• Added FAQ section to cover frequently asked questions about algorithms and contributing to the project.
• New Contributor Guide: Added clearer steps for setting up the local environment and submitting pull requests.
• Updated code examples to align with ES6 standards, improving readability and maintainability.

⚙️ Technical Changes

• Codebase Improvements:

  • Refactored sections of the code for efficiency.
  • Updated dependencies to ensure stability and security.

• Performance Optimization:

  • Optimized page load times for a smoother experience.

🔍 Next Steps

We are continuously improving Algo to offer more comprehensive algorithm resources. Look out for future releases, where we plan to add more advanced algorithms and user-interactive features!

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Thank you for being a part of our journey to make learning algorithms easy and accessible for everyone! 🎉

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.