Welcome to the DOES (Documentation of Evidence & Study) repository focused on sharing free, helpful books and study materials for IT students and data science learners.
This collection includes high-quality PDF resources, tutorials, reports, and articles to support your academic or self-paced learning journey.
Click on each folder below to explore the books and resources:
- IT_Fundamentals/ – Networking, computer architecture, operating systems, and more.
- Data_Science/ – Machine Learning, AI, data analytics, statistics.
- Programming/ – Python, C++, JavaScript, and more.
- Articles/ – Academic papers, whitepapers, and industry articles.
- Tutorials/ – Step-by-step PDF tutorials on tools, frameworks, or concepts.
- Others/ – CVs, personal docs, or miscellaneous files.
We welcome your contributions!
To add books or resources:
- Fork this repo.
- Add files in the appropriate folder (use clear filenames).
- Create a pull request with a brief description of your contribution.
✅ Please share only legal and publicly available resources.
This project is licensed under the MIT License.
Created by Rathanak Phan
A shared effort to help learners in IT and Data Science get access to quality resources.
“The beautiful thing about learning is that nobody can take it away from you.” – B.B. King