Programming
Structured academic support for programming courses: assignments, labs, and projects in multiple languages and paradigms.
Subtopics
- Languages: Python, Java, C/C++, JavaScript, R, and others—syntax, OOP, functional concepts
- Data structures & algorithms: Arrays, lists, trees, graphs, sorting, searching, complexity
- Software development: Version control, testing, debugging, documentation, design patterns
- Application areas: Scripting, web back-ends, data processing, small-scale systems
Academic Use Cases
- Programming assignments and problem sets with documented, runnable code
- Lab exercises with unit tests and short write-ups
- Capstone or course projects: design, implementation, and report
Relevant Services
Assignment help, lab assistance (programming labs), project and capstone support, and one-on-one tutoring.