Functional programming focuses on using mathematical functions and expressions to transform data, rather than relying on state changes or side effects.

Imperative programming languages are designed to specify a sequence of instructions that the computer executes to perform a task.

Object-oriented programming organizes code into objects, which contain both data and methods, and allows for inheritance and polymorphism.

Declarative programming languages allow programmers to express the desired outcome without specifying the exact steps to achieve it.

Logic programming is designed to represent and manipulate symbolic data using logical rules and facts.

Tuples are immutable ordered collections of elements that are commonly used in functional programming languages.

Concurrent programming focuses on designing and implementing systems that can execute multiple tasks simultaneously.

Strongly typed programming languages offer improved performance, increased security, and easier debugging due to type checking.

Object-oriented programming emphasizes data abstraction and information hiding by bundling data and methods together into objects.

Compilation is the process of converting high-level programming language code into machine code before execution.

Functional programming languages often use pattern matching and recursion as core concepts for expressing computations.

The primary goal of a programming language is to define a set of rules for organizing and manipulating data in a structured way.

Imperative programming languages allow programmers to explicitly manipulate the state of a program using mutable variables and side effects.

Interpretation is the process of executing a program line by line, without the need for prior compilation.

Object-oriented programming allows objects to communicate with each other by sending and receiving messages.