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

Presentation: Fix SLO Breaches before They Repeat: an SRE AI Agent for Application Workloads

Bruno Borges discusses a paradigm shift in performance management: moving from manual tuning to automated SRE agents. He explains how to leverage the USE and jPDM methodologies alongside LLMs to reduce MTTR from hours to seconds. By utilizing MCP tools for real-time diagnostics and memory dump analysis, he shares how engineering leaders can scale systems while meeting strict objectives.

By Bruno Borges

AWS Expands Well‑Architected Guidance with Data Residency and Hybrid Cloud Lens

Earlier this year, AWS launched the Well-Architected Data Residency with Hybrid Cloud Services Lens, providing guidance for hybrid cloud workloads. The lens covers data classification, operational practices, automation, and compliance, helping organizations manage data location while optimizing security, cost, and resilience.

By Leela Kumili

SIMA 2 Uses Gemini and Self-Improvement to Generalize Across Unseen 3D and Photorealistic Worlds

Google DeepMind researchers introduced SIMA 2 (Scalable Instructable Multiworld Agent), a generalist agent built on the Gemini foundation model that can understand and act across multiple 3D virtual game environments. The SIMA 2 architecture uses a Gemini Flash-Lite model trained on a mixture of gameplay and Gemini pretraining data.

By Vinod Goje

Article: Stop Guessing, Start Improving: Using DORA Metrics and Process Behavior Charts

Delivery performance rarely changes in a straight line. Small degradations caused by tooling, environment instability, or team changes can accumulate quietly, while real improvements take time to emerge. This article shows how combining DORA metrics with Process Behavior Charts helps teams zoom out, detect meaningful shifts early, and validate improvement hypotheses.

By Egor Savochkin

SharePoint Framework 1.22 Ships with Heft-Based Build Toolchain and Refreshed Project Baseline

Microsoft has announced the general availability of SharePoint Framework (SPFx) version 1.22, a release centered on modernising the build and tooling experience for SPFx developers. This shift marks a foundational update to how SPFx solutions are built, aimed at addressing technical debt, improving extensibility, and aligning with broader Microsoft toolchain standards.

By Edin Kapić

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service