os232

LINKS

  1. Operating Systems: a website for learning Operating Systems, containing slides, tutorials, assignments, and quizzes related to the OS course. It’s very helpful for anyone who is just starting to learn OS from scratch.

  2. Markdown Cheatsheet: a comprehensive collection of cheatsheets that can assist in creating more structured, aesthetically pleasing, and engaging .md (Markdown) files.

  3. Django Documentations: a website filled with documentation for Django, which happens to be a widely-used Python web framework for creating websites and web applications.

  4. Codeforces: an online competitive programming platform. It hosts regular coding contests and competitions that allow programmers and developers from around the world to showcase their problem-solving and algorithmic coding skills. You can also improve your competitive programming skills here!

  5. Database UI: an online website that offers a comprehensive e-resource library, providing a rich and diverse collection of digital materials and content that you can easily access and utilize for your research, learning, or informational needs. However, you have to be a student from University of Indonesia before you can access the website.

  6. Python Documentation: Official documentation for the Python programming language. A great resource to learn about all the features and functions within Python.

  7. GitHub Guides: GitHub provides a series of very helpful guides to understand how to use their platform for collaboration, version control, and software development.

  8. Coursera: An online learning platform providing various courses from universities and top institutions worldwide. There are various topics including programming, data science, business, and more.

  9. Stack Overflow: A large community for software developers where you can search for programming-related answers and share knowledge.

  10. Kaggle: A platform providing datasets, competitions, and learning resources for data science and machine learning. Great for learning and practicing data analysis.