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Past Papers CS101 โ€“ VU Computer Science Programming Paradigms Importants Shorts Answers

Programming Paradigms and Language Evolution

Q#1: What is the fundamental difference between the imperative and declarative programming paradigms?
Answer:

  • Imperative paradigm: Focuses on developing a sequence of commands or an algorithm to manipulate data and achieve a desired result. The programmer designs the step-by-step algorithm.
  • Declarative paradigm: Emphasizes describing the problem rather than specifying how to solve it. The system applies predefined algorithms to solve the problem.
  • Key distinction: Imperative programming tells the computer how to do something; declarative programming tells the computer what to achieve.

Q#2: Why were assembly languages considered a significant advancement in early programming compared to machine languages?
Answer:

  • Assembly languages offered human-readable mnemonic codes instead of numeric machine instructions.
  • Made programs easier to understand and write.
  • Reduced complexity and tedium of writing machine code directly.
  • Introduced an abstraction layer, paving the way for higher-level languages.

Q#3: How did third-generation programming languages differ from earlier generations in terms of their primitives and machine independence?
Answer:

  • Higher-level primitives: Instructions expressed in larger increments, making programming more intuitive and readable.
  • Machine independence: Programs could run on different computers, unlike early languages tied to specific hardware.
  • Examples: FORTRAN (scientific/engineering), COBOL (business).
  • Significance: Made programming easier, faster, and more portable.

Q#4: Why did the development of programming languages follow multiple tracks based on different paradigms?
Answer:

  • Different paradigms (functional, object-oriented, imperative, declarative) offer distinct approaches to software development.
  • Each paradigm addresses different problem types and ways of thinking about solutions.
  • Languages evolved along independent tracks to cater to diverse software development needs, resulting in a rich programming landscape.
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