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.

Lyft has implemented an AI-driven localization system to accelerate translations of its app and web content. Using a dual-path pipeline with large language models and human review, the system processes most content in minutes, improves international release speed, ensures brand consistency, and handles complex cases like regional idioms and legal messaging efficiently.
By Leela Kumili
Mariia Bulycheva discusses the transition from classic deep learning to GNNs for Zalando's landing page. She explains the complexities of converting user logs into heterogeneous graphs, the "message passing" training process, and the technical pitfalls of graph data leakage. She shares how a hybrid architecture solved inference latency, delivering contextual embeddings to a downstream model.
By Mariia Bulycheva
InfoQ recently spoke with key members of the Spring team about the significant architectural and functional advancements in Spring Framework 7 and Spring Boot 4. This conversation explores the strategic shift toward core resilience by integrating features such as retry and concurrency throttling directly into the framework, alongside the performance benefits of modularizing auto-configurations.
By Karsten Silz, Phil Webb, Sam Brannen, Rossen Stoyanchev, Mark Pollack, Martin Lippert, Michael MinellaViktor Peterson, part of the CISA task force working on SBOM blueprints and co-founder of sbomify, explores the shifting landscape of software supply chain security as the EU's Cyber Resilience Act (CRA) comes into force, a "GDPR moment" for the industry.
By Viktor Peterson
AWS launched a standalone Sustainability console with API access, configurable CSV exports, and Scope 1-3 emissions data by service and Region. The console decouples emissions reporting from billing permissions. AWS CTO Werner Vogels framed carbon as an architectural metric belonging alongside latency, cost, and error rates in the observability stack.
By Steef-Jan Wiggers
© 2026 Created by Michael Levin.
Powered by