Resources

Introduction

Last 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.



Logic & Data

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 Data

There 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 Syntax

Lambdas 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!

Views: 148

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

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.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

ArkType Introduces ArkRegex with Type Safe Regular Expressions

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

350PB, Millions of Events, One System: Inside Uber’s Cross-Region Data Lake and Disaster Recovery

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 Launches ‘Code Orange: Fail Small’ Resilience Plan After Multiple Global Outages

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

Presentation: Holistic Engineering: Organic Problem Solving for Complex Evolving Systems

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 Formicola

Podcast: Why Engineering Culture Is Everything: Building Teams That Actually Work

In 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

Badges  |  Report an Issue  |  Terms of Service