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

Core data transformation libraries in F# 4.0


One of the enhancements to the FSharp.Core run-time brought by F# 4.0 is normalized data collection modules (https://blogs.msdn.microsoft.com/fsharpteam/2014/11/12/announcing-a-preview-of-f-4-0-and-the-visual-f-tools-in-vs-2015/). It is quite interesting that this development:

  • Confirms the commonality of data processing patterns across data processing platforms. Functions such as map or filter can be found in functional programming languages such as F#, query tools such as LINQ, and scripting engines such as PowerShell, to name a few.

  • Recognizes that concrete functions belonging to these patterns are polymorphic and may be uniformly apply across different data collection types. F# 4.0 successfully delivers this polymorphism over the most frequently used data collection types, namely for Array, List, and Seq modules.

Overall, this library normalization added 95 new optimized per collection type function implementations to F# 4.0 data crunching offering...