OOP extends programmer productivity by providing features like reusability through inheritance and better management of complex programs.
Top-down programming is an approach where a large problem is broken into smaller pieces, each treated as a new problem to be solved.
Data structures are crucial for organizing and manipulating the data that a program works with, which is as important as the design of control structures.
It emphasizes breaking down tasks into subtasks and specifying a step-by-step procedure or algorithm to accomplish the task.
Software engineering focuses on the development of correct, working, and well-written programs using accepted methods for problem analysis and program design.
OOP focuses on modeling real-world objects and their interactions to create a system that closely represents the real-world problem domain.
An algorithm is a sequence of steps to be followed to achieve a desired output, often referred to as a procedure.
The building blocks include basic commands for moving data and performing computations, which are combined into complex programs using control structures and subroutines.
OOP manages complexity by using objects that encapsulate data and behavior, allowing for better organization and reusability.
