Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/tushar2704/interview-quest

Interview-Quest is comprehensive collection of interview questions and answers that can help you prepare for technical interviews. Whether you're a seasoned developer looking to brush up on your skills or a job seeker preparing for your next big opportunity, this repository aims to provide valuable resources to enhance your interview readiness.
https://github.com/tushar2704/interview-quest

artificial-intelligence data data-science interview interview-questions machine-learning

Last synced: 1 day ago
JSON representation

Interview-Quest is comprehensive collection of interview questions and answers that can help you prepare for technical interviews. Whether you're a seasoned developer looking to brush up on your skills or a job seeker preparing for your next big opportunity, this repository aims to provide valuable resources to enhance your interview readiness.

Awesome Lists containing this project

README 

        
# Interview-Quest



Welcome to Interview-Quest! 🚀



This repository is a comprehensive collection of interview questions and answers that can help you prepare for technical interviews. Whether you're a seasoned developer looking to brush up on your skills or a job seeker preparing for your next big opportunity, this repository aims to provide valuable resources to enhance your interview readiness.



## Features



- 📚 Extensive Question Bank: Explore a wide range of technical interview questions across various domains such as algorithms, data structures, system design, programming languages, and more.

- ✅ Detailed Answers: Find well-explained answers to each question to deepen your understanding and improve your problem-solving approach.

- 🔍 Search Functionality: Use the search feature to quickly find specific topics or keywords within the repository.

- 🌟 Contributions Welcome: This repository is open for contributions! If you have questions or want to add new questions and answers, feel free to submit a pull request.



## How to Use



1. **Browse Categories**: Take a look at the different categories and subcategories available in the repository to find relevant questions.

2. **Search Questions**: Use the search bar or your browser's search functionality to look for specific keywords or topics.

3. **Read and Learn**: Click on a question to view its detailed description and explore the answer provided.

4. **Contribute**: If you want to contribute to the repository, please follow the guidelines mentioned in the [CONTRIBUTING.md](CONTRIBUTING.md) file.



## How to Contribute



Contributions are always appreciated! If you have interview questions and answers to share, or want to improve the existing content, follow these steps:



1. Fork the repository.

2. Create a new branch for your changes.

3. Make your modifications, ensuring clear and concise explanations.

4. Commit and push your changes to your forked repository.

5. Submit a pull request, describing the changes you've made.



Please read the [CONTRIBUTING.md](CONTRIBUTING.md) file for more detailed information on how to contribute.



## License



This repository is licensed under the [MIT License](LICENSE), which means you're free to use, modify, and distribute the content for personal or commercial purposes.



## Acknowledgements



A big thank you to all the contributors who have helped to build and improve this repository. Your contributions make Interview-Quest a valuable resource for job seekers and developers around the world.



If you find this repository helpful, don't forget to give it a ⭐️ to show your support!



Happy coding and best of luck with your interviews! 💪