Codetown ::: a software developer's community

ResourcesLast week, we went over higher order functions in Kotlin. We learned how higher order functions can accept functions as parameters and are also able to return functions. This week, we will take a look at lambdas. Lambdas are another type of function and they are very popular in the functional programming world.
Computer programs are made up of two parts: logic and data. Usually, logic is described in functions and data is passed to those functions. The functions do things with the data, and return a result. When we write a function we would typically create a named function. As we saw last week, this is a typical named function:
fun hello(name: String): String {
return "Hello, $name"
}
Then you can call this function:
fun main() {
println(hello("Matt"))
}
Which gives us the result:
Hello, Matt
Functions as DataThere is a concept in the functional programming world where functions are treated as data. Lambdas (functions as data) can do the same thing as named functions, but with lambdas, the content of a given function can be passed directly into other functions. A lambda can also be assigned to a variable as though it were just a value.
Lambda SyntaxLambdas are similar to named functions but lambdas do not have a name and the lambda syntax looks a little different. Whereas a function in Kotlin would look like this:
fun hello() {
return "Hello World"
}
The lambda expression would look like this:
{ "Hello World" }
Here is an example with a parameter:
fun(name: String) {
return "Hello, ${name}"
}
The lambda version:
{ name: String -> "Hello, $name" }
You can call the lambda by passing the parameter to it in parentheses after the last curly brace:
{ name: String -> "Hello, $name" }("Matt")
It’s also possible to assign a lambda to a variable:
val hello = { name: String -> "Hello, $name" }
You can then call the variable the lambda has been assigned to, just as if it was a named function:
hello("Matt")
Lambdas provide us with a convenient way to pass logic into other functions without having to define that logic in a named function. This is very useful when processing lists or arrays of data. We’ll take a look at processing lists with lambdas in the next post!
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.

Introducing ArkRegex: a revolutionary drop-in for JavaScript's RegExp that ensures type safety in regular expressions without runtime overhead. Seamlessly integrate with native features like capture groups and receive robust type inference, revolutionizing TypeScript development and eliminating runtime failures. Simplify regex with confidence—experience ArkRegex today!
By Daniel Curtis
Uber’s HiveSync is a sharded, cross-region batch replication system keeping Hive/HDFS data consistent across multiple regions. Handling 5M daily Hive events and 8PB of data replication, it uses event-driven jobs, hybrid RPC and DistCp strategies, DAG-based orchestration, and dynamic sharding, enabling disaster recovery, horizontal scaling, and 99.99% cross-region data accuracy.
By Leela Kumili
Cloudflare recently published a detailed resilience initiative called Code Orange: Fail Small, outlining a comprehensive plan to prevent large-scale service disruptions after two major network outages in the past six weeks.
By Craig Risi
Vanessa Formicola discusses how "invisible" forces shape our code and architecture. She shares patterns like "Cirque du Soleil coding" and "Shared Kitchen Sinks," explaining why technical problems often have social roots. Architects and leaders will learn how to use Social Decision Records (SDRs) and holistic modeling to make the implicit explicit and drive success.
By Vanessa FormicolaIn this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Gonzalo (Glo) Maldonado about the central role of engineering culture, measuring team health through qualitative metrics, and learning from other engineering disciplines.
By Gonzalo (Glo) Maldonado
© 2026 Created by Michael Levin.
Powered by