Function literals, Monads, Lazy evaluation, Currying, and moreKey FeaturesWrite concise and maintainable code with streams and high-order functionsUnderstand the benefits of currying your Golang functionsLearn the most effective design patterns for functional programming and learn when to apply each of themBuild distributed MapReduce solutions using GoBook DescriptionLex Sheehan begins slowly, using easy-to-understand illustrations and working Go code to teach core functional programming (FP) principles such as referential transparency, laziness, recursion, currying, and chaining continuations.This book is a tutorial for programmers looking to learn FP and apply it to write better code. Lex guides readers from basic techniques to advanced topics in a logical, concise, and clear progression.The book is divided into four modules. The first module explains the functional style of programming: pure functional programming, manipulating collections, and using higher-order functions. In the second module, you will learn design patterns that you can use to build FP-style applications. In the next module, you will learn FP techniques that you can use to improve your API signatures, increase performance, and build better cloud-native applications. The last module covers Category Theory, Functors, Monoids, Monads, Type classes and Generics.By the end of the book, you will be adept at building applications the FP way.What you will learnLearn how to compose reliable applications using high-order functionsExplore techniques to eliminate side-effects using FP techniques such as curryingUse first-class functions to implement pure functionsUnderstand how to implement a lambda expression in GoCompose a working application using the decorator patternCreate faster programs using lazy evaluationUse Go concurrency constructs to compose a functionality pipelineUnderstand category theory and what it has to do with FPWho This Book Is ForThis book is for Golang developers comfortable with OOP and interested in learning how to apply the functional paradigm to create robust and testable apps. Prior programming experience with Go would be helpful, but not mandatory.Table of ContentsPure Functional Programming in GoManipulating CollectionsUsing Higher Order FunctionsSOLID Design in GoAdding Functionality with DecorationBuilding on an Onion ArchitectureFunctional ParametersIncreasing Performance Using PipeliningIntro to Category Theory for Software DevelopersFunctors, Monoids, and Type ClassesMonadsAppendix