Sponsored by Goldman Sachs. Java 8 has Streams, Scala has parallel collections, and GS Collections has ParallelIterables. Since we use parallelism to achieve better performance, it's interesting to ask: how well do they perform? We'll look at how these three APIs work with a critical eye toward performance. We'll also look at common performance pitfalls.
Bodil Stokke demos building a complete video game from nothing in the span of a conference talk using functional reactive programming.
Jack Singleton discusses how to improve code readability and maintainability in Scala, and how to be productive with Options, Immutability, and the Collections library.
Lance Walton shares the experience of a small team building a trading platform in 6 weeks in Scala and Lift while fighting against an opposing organizational culture.
Josh Suereth discusses Scala: expressions, abstracting behaviors, FP & OOP, Futures & Promises, libraries with implicit classes and value classes, tracking lexical state with implicit values.
Joe Armstrong describes the foundations of fault tolerant computation and the basic properties a system should have in order to be able to function in an adequate manner despite the occurrence of hardware and software errors, summarizing the key features of Erlang and showing how they can be used for programming fault-tolerant and scalable systems on multi-core clusters.
Adam Warski shows how to replace features of DI containers with plain Scala code using MacWire, and adding interceptors using macros.
Marc-Daniel Ortega shares code snippets showing how to implement some logic in a functional language inspired by “Functional Programming in Scala”, avoiding the OOP influence.
Joe Armstrong discusses how fault tolerance relates to scalability and concurrency, and how Erlang helps build fault-tolerant systems on multi-core clusters.
Stefan Chis demoes building a Lisp dialect in Scala, covering: parsing code, defining data types and functions, evaluating expressions, implementing higher order functions.
Adam Rosien introduces scalaz, how to use it to make code simpler and type safer, how it compensates for Scala issues, and how it encapsulates DI and data validation.