Codetown ::: a software developer's community
Welcome to Kotlin Thursdays! This week I’m starting a series on functional programming with Kotlin. Functional programming is something I’m passionate about, and Kotlin has some great functional programming support! Functional programming can lead to code that is easier to think about, has fewer bugs and is easier to test.
What better way to dive into functional programming than to learn about functions! It might help to think of functions as “mini-programs”. Functions allow us to write some code once and then use that code multiple times throughout the rest of our program.
To make a Kotlin program, we need to make a function to “kickstart” our program. This function is called the main
function. To create the main
function, let’s make a file called FunWithFunctions.kt
and write the following code in it:
fun main() {
println(“Hello World!”)
}
We can compile this into a jar file that we can run with the following command on our terminal:
kotlinc-jvm FunWithFunctions.kt -include-runtime -d functions.jar
Then we can run the program with the following command:
java -jar functions.jar
For those not familiar, a jar file is how Java Virtual Machine programs are packaged into programs that we can easily run. Kotlin, like Java, uses the Java Virtual Machine to run.
Kotlin knows that when we run our code, it should start by running the main
function. But we can make our own custom functions as well! Let’s write our first custom function in my FunWithFunctions.kt
file:
fun myFirstFunction(): String {
return "I made my first Kotlin function!"
}
We’re using the same fun
keyword as before, and we’re giving this function the name of myFirstFunction
. Notice the : String
that comes after the function name; this tells Kotlin that when this function finishes running, it is going to return a String
object. If we don’t specify that, Kotlin assumes that our function is returning Unit
, which is the same thing as void
in Java. Finally, we use the return
keyword to return our string.
This new function we’ve created can now be used in the main function of our program. Here’s the final content of the FunWithFunctions.kt
file:
fun myFirstFunction(): String {
return "I made my first Kotlin function!"
}
fun main() {
val result = myFirstFunction()
println(result)
}
Now we can compile and run it:
kotlinc-jvm FunWithFunctions.kt -include-runtime -d functions.jar
java -jar functions.jar
Kotlin has support for higher order functions. A function is a higher order function if it can do at least one of the following things:
Let’s examine passing functions into other functions. First, let’s define a function that returns a String
:
fun a(): String {
return "I can haz functionz!"
}
Next, we’ll create a second function that can accept this function as a parameter:
fun b(parameter: () -> String): String {
return parameter()
}
We can call function b
, passing in function a
in our main function:
fun main() {
println(b(::a))
}
When function b
runs, it will take function a
as the parameter and execute it, returning the value:
I can haz functionz!
Let’s talk about the second capability that higher order functions possess: returning other functions. Let’s start off again with our function a
from before:
fun a(): String {
return “I can haz functionz!”
}
Next we define a new function c
that will return the function a
we defined earlier:
fun c(): () -> String {
return ::a
}
Note that function c
has a return type of () -> String
. This is because c
is returning the function a
which returns a String
. Kotlin, being strongly typed, requires us to match our return types correctly. This is different from dynamically typed languages like Ruby, which do not require types to be specified. This might seem like a nuisance at first, but in future episodes we’ll examine how using a strongly typed language like Kotlin actually helps us prevent bugs in our code by using types.
When the function c
executes, it returns the function a
, but it does not execute function a
. Let’s see what happens when we call this in the main function:
fun main() {
println(c())
}
This will print:
function a (Kotlin reflection is not available)
This is because function a
is being directly returned as a function, instead of executing and returning a String
type. To make it execute, we would have to add two sets of parentheses in the println statement:
fun main() {
println(c()())
}
Now the function a
, which is returned by the function c
, will execute and return the String
value:
I can haz functionz!
This prints out correctly because now we’re calling c which returns a function, then calling that returned function (c is returning a).
To help clarify what’s going on here, let’s write our main function a different way:
fun main() {
val functionA = c()
println(functionA)
}
Note the lack of parentheses around functionA
in the println
statement. Kotlin will print this out again:
function a (Kotlin reflection is not available)
We can add parentheses to functionA
in the println
statement to make functionA
execute:
fun main() {
val functionA = c()
println(functionA())
}
Now we get the result we wanted:
I can haz functionz!
Higher order functions are a key component of functional programming, as it allows us to build up our program by connecting functions to functions. In future episodes we’ll start to examine how this becomes useful especially as we later learn about function composition, which allows us to write software that is easier to comprehend.
Join me next week on Kotlin Thursdays when I talk about anonymous functions and lambdas!
Tags:
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Check out the Codetown Jobs group.
During the recent Developer Week, Cloudflare announced that the object storage R2 now supports event notifications, which automatically trigger Workers in response to data changes. Additionally, the migration service Super Slurper now extends its support to Google Cloud Storage and a new infrequent access storage tier is available in private beta.
By Renato LosioGoogle has released Android 15 Beta. This version brings loudness control, screen recording detection, edge-to-edge apps by default, improvements for satellite connectivity and OpenJDK core libraries, new SQLite Apis, and more.
By Diogo CarletoMicrosoft recently announced significant updates to the Govern section of its Cloud Adoption Framework (CAF) for Azure, enhancing cloud governance guidance across various domains, including identity, cost management, and AI, to support better organizations, from startups to large enterprises, in their cloud journey.
By Steef-Jan WiggersIn this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Cassie Shum, VP of Field Engineering at Relational AI, about the importance of empathy in engineering culture and the key elements of building a strong team.
By Cassandra ShumSergey Bykov discusses the concept of Durable Execution, with a real world example of how they used it to build the Control Plane for Temporal Cloud.
By Sergey Bykov© 2024 Created by Michael Levin. Powered by