Book Image

F# 4.0 Design Patterns

By : Gene Belitski
Book Image

F# 4.0 Design Patterns

By: Gene Belitski

Overview of this book

Following design patterns is a well-known approach to writing better programs that captures and reuses high-level abstractions that are common in many applications. This book will encourage you to develop an idiomatic F# coding skillset by fully embracing the functional-first F# paradigm. It will also help you harness this powerful instrument to write succinct, bug-free, and cross-platform code. F# 4.0 Design Patterns will start off by helping you develop a functional way of thinking. We will show you how beneficial the functional-first paradigm is and how to use it to get the optimum results. The book will help you acquire the practical knowledge of the main functional design patterns, the relationship of which with the traditional Gang of Four set is not straightforward. We will take you through pattern matching, immutable data types, and sequences in F#. We will also uncover advanced functional patterns, look at polymorphic functions, typical data crunching techniques, adjusting code through augmentation, and generalization. Lastly, we will take a look at the advanced techniques to equip you with everything you need to write flawless code.
Table of Contents (20 chapters)
F# 4.0 Design Patterns
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Preface

Closures


As I already mentioned, the function result depends on parameters. Is this dependency exhaustive? Certainly not. The function definition exists in a lexical context and is free to use some entities from this context in the course of the transformation of arguments into the result. Let's consider the following code example (Ch3_5.fsx):

let simpleClosure = 
  let scope = "old lexical scope" 
  let enclose() = 
    sprintf "%s" scope 
  let scope = "new lexical scope" 
  sprintf "[%s][%s]" scope (enclose()) 

The preceding enclose() function does not have any parameters except unit. However, the result that's returned depends on the free value scope that was in the lexical scope at the time of the function definition. Let scope value be bound to the "old lexical scope" value. This value gets captured, "closed" by the enclose() definition. Together, the contextual part and the definition form the special entity named closure. This process is schematically presented in the following figure...