Felix Klock II explains concepts of the Rust language: the concurrency model, the type system, allocation and ownership models, the macro system, its style of FP and OOP, and much more.
Jessica Kerr explains the reasons to use Scala (best of FP and OOP worlds), scalaz, I/O and async programming with scalaz-stream, property-based testing with ScalaCheck, and much more.
Francesco Cesarini and Viktor Klang explain the motivation behind the Reactive Manifesto and what exactly it brings to the table. Also: what Erlang and Scala/Akka can learn from each other.
Dean Wampler explains Scalding and the other Hadoop support libraries, the return of SQL, how (big) data is the killer application for functional programming, Java 8 vs Scala, and much more.
Sadek Drobi explains the benefits of functional programming for the web. Also: improving CMS by separating content from representation and how prismic.io implements ideas from functional DBs and Git.
Richard Minerich explains the reasons for choosing F#, how F# Type Providers help to integrate languages like R, how to bring Functional Programming to enterprise developers, and much more.
Erik Meijer explains Monads, from the basics to the reasons for the IO Monad.
Darach Ennis explains the lessons learned from the Complex Event Processing community, reactive programming, the challenges of messaging on mobile platforms, OOP vs Functional and much more.
Sven Efftinge talks with Alex Blewitt at EclipseCon 2013 in Boston about Xtend, a Java-compatible language which, and Xtext, a general DSL and IDE editor framework. Read on to find out more.
Ben Christensen explains how Netflix manages to stay online even with millions of users, the Hystrix fault tolerance library, how Netflix discovered reactive programming and why it ported Rx to Java.
Tomas Petricek explains F# and some of its features like Type Providers, pits F# Computation Expressions vs Monads, and highlights issues teaching functional programming to developers, and much more.
Duncan Coutts on Parallelism and Concurrency with Haskell, Distributed Programming with Cloud Haskell
Duncan Coutts explains the nature of Concurrency and Parallelism in Haskell, its threading and STM implementation, Erlang OTP's influence on CloudHaskell for distributed programming, Monads, and more.