Curious Team

As a part of our service here, we are sharing some important open-source Resources that we have collected and gathered to support learners and developers across the globe. who are facing difficulties finding proper resources to upgrade their skills in their respective technologies.

Note: Since it’s open source, all copyright credits go to the respective owners. Please feel free to reach out at info@curiousdevelopers.in.

This blog covers the most important and frequently asked interview and competitive programming or dynamic programming checklist

Checklist Covers These Topics

1. Numbers
2. Strings
3. Arrays
4. Lists
5. Stacks
6. Queues

To become a Full Stack Developer, you should have knowledge and skills in frontend, backend & DevOps technologies. Here are the things you should know:

1. Frontend Technologies
2. Backend Technologies
3. Frontend Frameworks
4. Backend Frameworks
5. Databases
6. API Development
7. Version Control
8. Cloud Services
9. DevOps
10. Soft Skills

If you want to be a good programmer, do follow and keep these key points, and if you missed any of the key points, please try to adopt those key points in your life to be a good programmer.

Some tips:
1. Learn the fundamentals
2. Practice coding regularly
3. Read code written by others
4. Keep learning
5. Write clean and maintainable code
6. Collaborate with other programmers
7. Be patient and persistent

If you want to build a product ChatGPT you’ll need a solid understanding of the Python language itself as well as some key libraries and concepts. Here are some prerequisites in Python that can help you get started with AI

If you’re interested in learning programming languages, you may be wondering which ones are worthwhile. Having so many choices makes it challenging to know where to begin. We’ll expose you to some of the top programming languages to learn in 2023 in this post.

An ATS is a software program that scans resumes for relevant keywords and phrases, and then ranks them according to how closely they match the job description

Data structures and algorithms form the foundation of computer science and are essential for building efficient and scalable software systems. They are used in many areas of computer science, including database management, artificial intelligence, and web development.