{"id":22361457,"url":"https://github.com/thapasijan171/algodocs","last_synced_at":"2025-07-30T13:32:20.173Z","repository":{"id":258083529,"uuid":"860338088","full_name":"thapasijan171/AlgoDocs","owner":"thapasijan171","description":"Embark on your journey from zero to hero with comprehensive Data Structures and Algorithms, mastering fundamental concepts, optimizing problem-solving skills, and boosting your coding confidence with step-by-step guidance tailored for both beginners and advanced learners.","archived":false,"fork":false,"pushed_at":"2024-11-28T02:18:23.000Z","size":4380,"stargazers_count":4,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-11-28T03:22:09.864Z","etag":null,"topics":["data-structures","dsa","dsa-algorithm","dsa-learning-series"],"latest_commit_sha":null,"homepage":"https://algodocs.vercel.app","language":"MDX","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/thapasijan171.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-09-20T08:50:17.000Z","updated_at":"2024-11-28T02:18:26.000Z","dependencies_parsed_at":"2024-10-17T15:49:18.462Z","dependency_job_id":"06baf572-5fac-4658-aa32-9740709876bc","html_url":"https://github.com/thapasijan171/AlgoDocs","commit_stats":null,"previous_names":["apelapato067/algodocs","thapasijan171/algodocs"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thapasijan171%2FAlgoDocs","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thapasijan171%2FAlgoDocs/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thapasijan171%2FAlgoDocs/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thapasijan171%2FAlgoDocs/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/thapasijan171","download_url":"https://codeload.github.com/thapasijan171/AlgoDocs/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":228147247,"owners_count":17876638,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-structures","dsa","dsa-algorithm","dsa-learning-series"],"created_at":"2024-12-04T16:29:48.730Z","updated_at":"2024-12-04T16:29:49.178Z","avatar_url":"https://github.com/thapasijan171.png","language":"MDX","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AlgoDocs\n\nAlgoDocs is a personal documentation project for **Data Structures** and **Algorithms** (DSA), along with curated solutions to **LeetCode** problems. The goal is to make learning and understanding DSA simpler through easy-to-follow explanations, visual diagrams, and step-by-step solutions.\n\n\u003e ⚠️ Please note: This is not an official DSA documentation. All content is based on my personal knowledge, approaches, and solutions.\n\n## Features\n\n- 📚 **Comprehensive DSA Documentation**: In-depth explanations of data structures (arrays, linked lists, trees, etc.) and algorithms (sorting, searching, dynamic programming, etc.).\n- 💡 **Easy-to-Understand Solutions**: LeetCode problems are explained in a way that’s beginner-friendly, with simple language and clear steps.\n- 🖼️ **Diagrams and Visuals**: Visual aids like diagrams and flowcharts are included to make complex concepts easier to grasp.\n- 🔄 **Interactive Examples**: Solutions are not just explained but also broken down into examples with detailed steps.\n- 🎨 **Visual Enhancements**: Emojis and formatting are used to make the documentation visually appealing and engaging.\n- 📈 **Optimized for Learning**: Each section focuses on building a solid foundation with concise explanations, followed by progressively more advanced concepts.\n\n## Tech Stack\n\n- **Framework**: Next.js (for static site generation)\n- **Languages**: TypeScript\n- **UI/UX**: TailwindCSS\n- **Graphics**: Diagrams made with tools like Excalidraw for clear and concise visual representations.\n\n## How to Use\n\n1. Browse the docs to explore different data structures and algorithms.\n2. Dive into detailed LeetCode solutions with step-by-step breakdowns.\n3. Use the diagrams to visually understand how each algorithm or data structure works.\n4. Enhance your learning experience by following along with examples.\n\n## Contributing\n\nContributions are welcome! If you'd like to enhance AlgoDocs, feel free to:\n\n- 📝 **Add Better Solutions**: Improve existing LeetCode solutions or add more efficient ones.\n- 📊 **Enhance Diagrams**: Add or improve diagrams for better visualization of concepts.\n- 🧠 **Simplify Explanations**: Help make the content even more beginner-friendly by simplifying explanations.\n- 🎨 **Add Emojis \u0026 Style**: Emojis are welcome to make the docs more fun to read! Feel free to enhance the visual design as well.\n\n## Planned Features\n\n- **Interactive Code Snippets**: Planned future feature where users can interact with code directly on the docs for better understanding.\n- **Quizzes and Practice Problems**: To help test your understanding of the concepts covered.\n\n## Give it a ⭐ on GitHub!\n\nIf you love AlgoDocs and find it helpful, don’t forget to give it a ⭐ on [GitHub](https://github.com/thapasijan171/AlgoDocs). Your support means a lot and helps in improving the project further!\n\n---\n\nFeel free to explore the docs, learn DSA in a simple way, and contribute to making this project better! Let's make learning DSA fun and easy together. 🚀\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthapasijan171%2Falgodocs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthapasijan171%2Falgodocs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthapasijan171%2Falgodocs/lists"}