Advanced Scala with Scalaz - Underscore
Overview Advanced Scala with Scalaz is aimed at experienced Scala developers who want to take the next step in engineering robust and scalable systems. The course teaches five key abstractions of monoids, functors, monads, monad transformers, and applicative functors, using the implementations in the Scalaz library. Through a series of projects we show you how these abstractions can be used to eng
ScalazでBean Validation
このエントリはScala Advent Calender 2011の第23日目です。 Java業界で今年最大のニュースといえば、Oracle Open Worldで発表されたOracleのクラウド参入を上げる人も多いでしょう。OracleのPaaSが成功するのかどうかは未知数ですが、Java EEがPaaSのプラットフォームとして強力に推進されることは確実で、Java VM系での標準コンテナ仕様になるとみて間違いないと思います。 現状では、WebアプリケーションをJavaで作る場合TomcatやJettyなどの生ServletにSpringなどのフレームワークを載せて使うのが一般的で、Java EEのEJBはあまり使われていません。Java EEからEJBを引くと生Servletになるのであれば、Java EE仕様はあまり関係なくて、今まで通りTomcatやJettyベースでよいことになり
Accumulating More Than One Failure In A ValidationNEL - John Kurkowski - Senior Full Stack Web Developer
This is an adaptation of an internal blog post I made for Gravity engineers. To preface, Gravity likes to use 2 very predictable patterns throughout its Scala codebase, which is very important for a TIMTOWTDI language like Scala. The for-comprehension: it expresses so much of Gravity’s business logic, so it is valuable to see its familiar syntax over and over. ValidationNEL: it captures success an
Scalaz
This document provides an overview of Scalaz and functional programming concepts like Functor, Applicative, and Monad as they relate to the Option type in Scalaz. It discusses Option syntax, constructing Options, working with Options using fold, map, and other methods, and defines Option as an instance of Functor, Applicative, and Monoid. It also briefly touches on concepts like context bounds and
Monad Transformers in Scala
A programmer's blog - will deal with everything that relates to a programmer. Occasionally, it will contain some humour, some politics and some sport news. Monads don't compose .. and hence Monad Transformers. A monad transformer maps monads to monads. It lets you transform a monad with additional computational effects. Stated simply, if you have a monadic computation in place you can enrich it in
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ZPark-Ztream: Driving Spark distributed stream with Scalaz-Stream - Mandubian Blog
