Kotlin tutorial for Beginners – Kotlin Functions

Hits: 1

Kotlin Functions

In this article, you’ll learn about functions; what functions are, its syntax and how to create a user-function in Kotlin.

Functions are used to break a large program into smaller and modular chunks. For example, you need to create and color a circle based on input from the user. You can create two functions to solve this problem:

  • createCircle() Function
  • colorCircle() Function

Dividing a complex program into smaller components makes our program more organized and manageable.

Furthermore, it avoids repetition and makes code reusable.


Types of Functions

Depending on whether a function is defined by the user, or available in standard library, there are two types of functions:

  • Kotlin Standard Library Function
  • User-defined functions

Kotlin Standard Library Function

The standard library functions are built-in functions in Kotlin that are readily available for use. For example,

  • print() is a library function that prints message to the standard output stream (monitor).
  • sqrt() returns square root of a number (Double value)
fun main(args: Array<String>) {

    var number = 5.5
    print("Result = ${Math.sqrt(number)}")
}

When you run the program, the output will be:

Result = 2.345207879911715

Here is a link to the Kotlin Standard Library for you to explore.


User-defined Functions

As mentioned, you can create functions yourself. Such functions are called user-defined functions.


How to create a user-defined function in Kotlin?

Before you can use (call) a function, you need to define it.

Here’s how you can define a function in Kotlin:

fun callMe() {
    // function body
}

To define a function in Kotlin, fun keyword is used. Then comes the name of the function (identifier). Here, the name of the function is callMe.

In the above program, the parenthesis ( ) is empty. It means, this function doesn’t accept any argument. You will learn about arguments later in this article.

The codes inside curly braces { } is the body of the function.


How to call a function?

You have to call the function to run codes inside the body of the function. Here’s how:

callme()

This statement calls the callMe() function declared earlier.

Function call in Koltin

Example: Simple Function Program

fun callMe() {
    println("Printing from callMe() function.")
    println("This is cool (still printing from inside).")
}

fun main(args: Array<String>) {
    callMe()
    println("Printing outside from callMe() function.")
}

When you run the program, the output will be:

Printing from callMe() function.
This is cool (still printing from inside).
Printing outside from callMe() function.

The callMe() function in the above code doesn’t accept any argument.

Also, the function doesn’t return any value (return type is Unit).

Let’s take another function example. This function will accept arguments and also returns a value.


Example: Add Two Numbers Using Function

fun addNumbers(n1: Double, n2: Double): Int {
    val sum = n1 + n2
    val sumInteger = sum.toInt()
    return sumInteger
}

fun main(args: Array<String>) {
    val number1 = 12.2
    val number2 = 3.4
    val result: Int

    result = addNumbers(number1, number2)
    println("result = $result")
}

When you run the program, the output will be:

result = 15

How functions with arguments and return value work?

Here, two arguments number1 and number2 of type Double are passed to the addNumbers() function during function call. These arguments are called actual arguments.

result = addNumbers(number1, number2)

The parameters n1 and n2 accepts the passed arguments (in the function definition). These arguments are called formal arguments (or parameters).

Passing arguments to a function in Kotlin

In Kotlin, arguments are separated using commas. Also, the type of the formal argument must be explicitly typed.

Note that, the data type of actual and formal arguments should match, i.e., the data type of first actual argument should match the type of first formal argument. Similarly, the type of second actual argument must match the type of second formal argument and so on.


Here,

return sumInteger

is the return statement. This code terminates the addNumbers() function, and control of the program jumps to the main() function.

In the program, sumInteger is returned from addNumbers() function. This value is assigned to the variable result.

Return value from a function in Kotlin

Notice,

  • both sumInteger and result are of type Int.
  • the return type of the function is specified in the function definition.
    // return type is Int
    fun addNumbers(n1: Double, n2: Double): Int {
        ... .. ...
    }

If the function doesn’t return any value, its return type is Unit. It is optional to specify the return type in the function definition if the return type is Unit.


Example: Display Name by Using Function

fun main(args: Array<String>) {
    println(getName("John", "Doe"))
}

fun getName(firstName: String, lastName: String): String = "$firstName $lastName"

When you run the program, the output will be:

John Doe

Here, the getName() function takes two String arguments, and returns a String.

You can omit the curly braces { } of the function body and specify the body after = symbol if the function returns a single expression (like above example).

It is optional to explicitly declare the return type in such case because the return type can be inferred by the compiler. In the above example, you can replace

fun getName(firstName: String, lastName: String): String = "$firstName $lastName"

with

fun getName(firstName: String, lastName: String) = "$firstName $lastName"

This is just the brief introduction to functions in Kotlin. Recommended articles related to functions:

  • Kotlin inline functions
  • Kotlin infix functions
  • Kotlin function scope
  • Kotlin Default and Named Arguments
  • Kotlin Recursion
  • Kotlin Tail Recursive function
  • Kotlin Extension Function
  • Kotlin High-Order Functions & Lambdas

 

Python Example for Beginners

Two Machine Learning Fields

There are two sides to machine learning:

  • Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
  • Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.

Data Science Resources: Data Science Recipes and Applied Machine Learning Recipes

Introduction to Applied Machine Learning & Data Science for Beginners, Business Analysts, Students, Researchers and Freelancers with Python & R Codes @ Western Australian Center for Applied Machine Learning & Data Science (WACAMLDS) !!!

Latest end-to-end Learn by Coding Recipes in Project-Based Learning:

Applied Statistics with R for Beginners and Business Professionals

Data Science and Machine Learning Projects in Python: Tabular Data Analytics

Data Science and Machine Learning Projects in R: Tabular Data Analytics

Python Machine Learning & Data Science Recipes: Learn by Coding

R Machine Learning & Data Science Recipes: Learn by Coding

Comparing Different Machine Learning Algorithms in Python for Classification (FREE)

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.