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

Data parsing


The parsing of data is absolutely essential for the enterprise. As an enterprise F# developer at Jet.com, I come across this data transformation pattern on a daily basis. Every case of LOB applications' integration with a third-party system - ERP, Bank, or Carrier - involves data parsing on the ingesting edges. Despite a plethora of integration technologies around that promise great data quality, timeliness, integrity, you name it...time and again, I am forced by my contractors to deal with flat fixed format files, CSV files, and Excel files. This is the boring reality of today.

On this battlefield, the weaponry varies from case-by-case hand-coded solutions based on Regex and F# active patterns to fairly generic solutions targeting whole classes of incoming data with F# type providers. Some typical examples of semi-generic solutions are invoices in the form of CSV files and Excel files that are to be persisted in the SQL server for further processing, reconciliation, and future...