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.