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jetbrains-kotlin-logo

Null safety in Kotlin

Kotlin is a statically typed JVM language developed by Jetbrains. It has some good documentation so today I will focus on a tiny part of it – null safety.There are at least ...
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Real-time charts with Play Framework and Scala: extreme productivity on JVM for web

Being a hardcore back-end developer, whenever I am thinking about building web application with some UI on JVM platform, I feel scared. And there are reasons for that: having experience ...
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Got my feet wet with Clojure

I started hardcode coding on Project Plugh. I’m working on moving a bunch of Lift concepts over to Clojure as I build Lift’s comet facilities in Clojure so I can stream ...
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Typed ask for Akka

Akka is a great tool for writing distributed applications. One thing that always surprised me though is that while being based on Scala, which is a very type-safe language, the elementary ...
scala-logo

How could Scala do a merge sort?

Merge sort is a classical “divide and conquer” sorting algorithm. You should have to never write one because you’d be silly to do that when a standard library class ...
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Grails AJAX Examples

Early on, newcomers to Grails encounter a lack of working samples accompanying the framework.  Good places for examples and documentation include the Grails documentation and bloggers. Ajax ...
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Lazy sequences in Scala and Clojure

Lazy sequences (also known as streams) are an interesting functional data structure which you might have never heard of. Basically lazy sequence is a list that is not fully known/computed ...
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Advanced routing in Play Framework

We frequently get questions about how to meet all sorts of different routing needs in Play Framework. While the built in router is enough for most users, sometimes you may encounter ...
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Groovy & Grails Understanding – Part2

Grails Grails is a web framework based on Groovy and Java which can be deployed into existing Java web servers, e.g. Tomcat or Jetty. Its scaffolding capabilities let you create a new ...
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Scala traits implementation and interoperability. Part II: Traits linearization

This is a continuation of Scala traits implementation and interoperability. Part I: Basics. Dreadful diamond problem can be mitigated using Scala traits and a process called linearization. ...
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