Analysis of Programming Languages

Question 1

Statically Typed Languages

Answer 1

Example: C++

Question 2

Compiled Languages

Answer 2

Example: C++

Question 3

Dynamically Typed Languages

Answer 3

Allowing variables to hold values of any type, and type checking is performed at runtime.
Example: Python

Question 4

Interpreted Languages

Answer 4

Example: Python

Question 5

Concurrent Programming Paradigm

Answer 5

A language paradigm that applies to languages that can be used for “multi-threading”

Example: C++

Question 6

Constraint Programming Paradigm

Answer 6

A language paradigm that applies to languages that can be used for solving combinatorics problems

Example: C++

Question 7

Dataflow programming paradigm

Answer 7

A language paradigm that applies to languages that can be used for doing calculations involving multiple data-streams by depicting the flow of data as a directed graph

Example: C++

Question 8

Declarative Programming paradigm

Answer 8

A language paradigm that applies to languages that does not actually require algorithms. They can help you when your application does not make it clear how your program is supposed to achieve the desired output

Example: C++

Question 9

Distributed Programming Paradigm

Answer 9

A language paradigm that applies to languages that can run your code on a computer network as opposed to just one machine

Example: C++

Question 10

Functional Programming Paradigm

Answer 10

A language paradigm that applies to languages that allow you to pass your function to other functions as if it were a datatype

Example: C++

Question 11

Imperative Programming Paradigm