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

Exploring concurrent computations


To a great extent, the reinvigorated industrial attention on functional programming after many years of increased academic interest stems from the achieved capacities of electronics. On the one hand, the capabilities of contemporary computers make computer science findings considered more of a pure science savor thirty years ago quite practical today owing to an enormous increase in the speed and capacity of calculations. On the other hand, at the silicon level, the science has hit the physical limit for the further speeding-up of a single processor core operation. So the practical computation speed-up is happening along the lines of splitting a given amount of calculations between a group of processors working in a close concert.

The feature review

The thing is that the brave new world of cheap multicore processors cannot afford expensive, error-prone, mentally onerous methods of programming. It is demanding the concurrency taming abstractions of a much higher...