Functions

Functions in computer programming serve as modular building blocks that encapsulate a specific set of instructions to perform a particular task or computation. They promote code reusability, allowing programmers to write a block of code once and reuse it multiple times throughout their program. Functions enhance code organization and readability by breaking down complex tasks into smaller, manageable units, making it easier to understand and maintain large codebases. They facilitate abstraction by hiding implementation details and providing a clear interface for interacting with the functionality they encapsulate, thus promoting a modular and scalable design approach. Functions also enable collaboration among team members by dividing work into smaller, self-contained units that can be developed, tested, and debugged independently. Additionally, functions promote code efficiency by reducing redundancy and promoting the use of well-tested and optimized code snippets. Overall, functions are essential constructs in computer programming, offering numerous benefits such as code reuse, organization, abstraction, collaboration, and efficiency, ultimately contributing to the development of robust and maintainable software systems.

Select Languages

Examples

C

#include <stdio.h>

int handleCars(int cars, int wheels) {
  total = cars * wheels;
  return total;
}

int result = handleCars(3, 4);
printf("%d", result);

C#

static int handleCars(int cars, int wheels) {
  int total = cars * wheels;
  return total;
}

int result = handleCars(3, 4);
Console.WriteLine(result);

C++

#include <iostream>

int handleCars(int cars, int wheels) {
  int total = cars * wheels;
  return total;
}
  
int result = handleCars(3, 4);
std::cout << result;

Go

func handleCars(cars int, wheels int) int {
  var total int = cars * wheels;
  return total;
}

var result int = handleCars(3, 4)
fmt.Println(result)

Java

static int handleCars(int cars, int wheels) {
  int total = cars * wheels;
  return total;
}
    
int result = handleCars(3, 4);
System.out.println(result);

JavaScript

function handleCars(cars, wheels) {
  const total = cars * wheels;
  return total;
}

const result = handleCars(3, 4);
console.log(result);

Kotlin

fun handleCars(cars: Int, wheels: Int): Int {
    val total: Int = cars * wheels;
    return total;
}

val result: Int = handleCars(3, 4);
println(result);

MatLab

function result = handleCars(cars, wheels)
  result = cars.* wheels;
end

// command line
result = handleCars(3, 4)

PHP

function handleCars($cars, $wheels) {
  $total = $cars * $wheels;
  return $total;
}

$result = handleCars(3, 4);
echo $result;

Python

def handleCars(cars, wheels):
  total =  cars * wheels
  return total

result = handleCars(3, 4)
print(result)

R

handleCars <- function(cars, wheels) {
  total <- cars * wheels
  return (total)
}

result <- handleCars(3, 4)
print(result)

Ruby

def handleCars(cars, wheels)
  total = cars * wheels;
  return total
end

result = handleCars 3, 4
puts result

Rust

fn handleCars(cars: i32, wheels: i32) -> i32 {
  let total = cars * wheels;
  return total;
}
  
let result = handleCars(3, 4);
println!("{}", result);

Scala

def handleCars(cars: Int, wheels: Int): Int = {
  val total: Int = cars * wheels
  return total
}

val result: Int = handleCars(3, 4)
println(result)

Swift

func handleCars(cars:Int, wheels:Int) -> Int {
  let total:Int = cars * wheels;
  return total;
}

let result:Int = handleCars(cars:3, wheels:4);
print(result);

TypeScript

function handleCars(
  cars:number,
  wheels:number
):number {
  const total = cars * wheels;
  return total;
}

const result = handleCars(3, 4);
console.log(result);

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