“Functional Programming, Simplified (Scala edition),” makes the process of learning functional programming (FP) in Scala as simple as possible by breaking down complex topics into small, bite-size chunks that are easy to understand. The lessons are presented in a logical sequence — the order in which the author learned them — culminating in advanced topics like functional domain modeling, and how to write and use monads.
Some of the book’s lessons include:
- A simple set of rules for functional programming in Scala - How and why to write pure functions and use immutable variables - Why function signatures in FP are *much* more important than method signatures in OOP - How pure functions work with I/O (file, database, and network) - How to read anonymous functions - Lessons on recursion, with many images to help explain how it works - How the concepts of JVM stacks and stack frames work - Partially-applied functions and currying - How using Option naturally leads to flatMap, and how flatMap naturally leads to for-comprehensions - How and why to use case classes and pattern matching - How to use monads like State and IO - How to use monad transformers like StateT - How (and why) to write your own monads - Domain modeling in functional programming - How to use “lenses” to update immutable data models - Concurrency lessons cover Akka actors and Scala futures - Visual lessons on collections’ methods like fold and reduce - How to use the ScalaCheck property-testing framework - How to write and use “type classes” - Algebraic Data Types (ADTs) are explained
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Functional Programming, Simplified: (Scala edition) 
