InfoQ Homepage JVM Languages Content on InfoQ
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The Design of Datomic
Rich Hickey discusses the design decisions made for Datomic, a database for JVM languages: what problems they were trying to solve with it, the solutions chosen, and their implementations.
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Evident Code, at Scale
Stuart Halloway shares advice on creating evident code that scales. Evident code is software that clearly expresses its meaning and purpose.
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Ozma: Extending Scala with Oz Concurrency
Peter Van Roy discusses solving concurrency issues with deterministic concurrency using Ozma, an extension of the Scala language employing the Oz deterministic dataflow concepts.
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Why Prismatic Goes Faster With Clojure
Bradford Cross recommends creating custom libraries containing composable abstractions instead of monolithic frameworks, exemplifying with Flop, Store, Graph, and Newsfeeds, all written in Clojure.
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Why is a Monad Like a Writing Desk?
Carin Meier tells the story of Alice discovering Monads, meeting three types of monads – Identity, Maybe, State-, and learning how to implement them in Clojure.
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Polyglot Programming: The Power of Hybridization
Bruce Eckel emphasizes using different languages within a project, each one for the task it is better fitted for, and giving several such examples: Python+Scala, Go+Python, Python+CoffeeScript.
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Play!: I’ll See Your Async and Raise You Reactive
Guillaume Bort and Sadek Drobi introduce Play, a Java and Scala web development framework, insisting on its asynchronous reactive capabilities built on Iteratee IO.
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Building Polyglot Systems with Scalang
Cliff Moon discusses Scalang, a message passing and actor library enabling easy communication between Scala and Erlang apps, wrapping services in Scalang actors.
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Embedding Ruby and RubyGems Over RedBridge
Yoko Harada introduces RedBridge, aka JRuby Embed, a Java API for calling JRuby code that is treated as regular Java objects, explaining its relation to JSR223 and demoing how to use it.
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How We (Mostly) Moved from Java to Scala
Graham Tackley discusses how The Guardian switched all new development from Java to Scala, why they did that, what were the benefits and the problems, and why they did not choose Python+Django.
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Improve Your Java with Groovy
Ken Kousen demoes 10 cases when he says it’s better to use Groovy: XML (and JSON), JDBC, I/O (Files), Collections, Closures, Builders, AST Transformations, Meta-programming, Spock, and Gradle.
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Scalaz: Functional Programming in Scala
Rúnar Bjarnason discusses Scalaz, a Scala library of pure data structures, type classes, highly generalized functions, and concurrency abstractions to perform functional programming in Scala.
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