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https://github.com/thapasijan171/algodocs
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.
https://github.com/thapasijan171/algodocs
data-structures dsa dsa-algorithm dsa-learning-series
Last synced: about 2 months ago
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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.
- Host: GitHub
- URL: https://github.com/thapasijan171/algodocs
- Owner: thapasijan171
- License: mit
- Created: 2024-09-20T08:50:17.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-11-28T02:18:23.000Z (about 2 months ago)
- Last Synced: 2024-11-28T03:22:09.864Z (about 2 months ago)
- Topics: data-structures, dsa, dsa-algorithm, dsa-learning-series
- Language: MDX
- Homepage: https://algodocs.vercel.app
- Size: 4.18 MB
- Stars: 4
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# AlgoDocs
AlgoDocs 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.
> β οΈ Please note: This is not an official DSA documentation. All content is based on my personal knowledge, approaches, and solutions.
## Features
- π **Comprehensive DSA Documentation**: In-depth explanations of data structures (arrays, linked lists, trees, etc.) and algorithms (sorting, searching, dynamic programming, etc.).
- π‘ **Easy-to-Understand Solutions**: LeetCode problems are explained in a way thatβs beginner-friendly, with simple language and clear steps.
- πΌοΈ **Diagrams and Visuals**: Visual aids like diagrams and flowcharts are included to make complex concepts easier to grasp.
- π **Interactive Examples**: Solutions are not just explained but also broken down into examples with detailed steps.
- π¨ **Visual Enhancements**: Emojis and formatting are used to make the documentation visually appealing and engaging.
- π **Optimized for Learning**: Each section focuses on building a solid foundation with concise explanations, followed by progressively more advanced concepts.## Tech Stack
- **Framework**: Next.js (for static site generation)
- **Languages**: TypeScript
- **UI/UX**: TailwindCSS
- **Graphics**: Diagrams made with tools like Excalidraw for clear and concise visual representations.## How to Use
1. Browse the docs to explore different data structures and algorithms.
2. Dive into detailed LeetCode solutions with step-by-step breakdowns.
3. Use the diagrams to visually understand how each algorithm or data structure works.
4. Enhance your learning experience by following along with examples.## Contributing
Contributions are welcome! If you'd like to enhance AlgoDocs, feel free to:
- π **Add Better Solutions**: Improve existing LeetCode solutions or add more efficient ones.
- π **Enhance Diagrams**: Add or improve diagrams for better visualization of concepts.
- π§ **Simplify Explanations**: Help make the content even more beginner-friendly by simplifying explanations.
- π¨ **Add Emojis & Style**: Emojis are welcome to make the docs more fun to read! Feel free to enhance the visual design as well.## Planned Features
- **Interactive Code Snippets**: Planned future feature where users can interact with code directly on the docs for better understanding.
- **Quizzes and Practice Problems**: To help test your understanding of the concepts covered.## Give it a β on GitHub!
If you love AlgoDocs and find it helpful, donβt forget to give it a β on [GitHub](https://github.com/thapasijan171/AlgoDocs). Your support means a lot and helps in improving the project further!
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Feel 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. π