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Learning Functional Programming in Go

You're reading from   Learning Functional Programming in Go Change the way you approach your applications using functional programming in Go

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781787281394
Length 670 pages
Edition 1st Edition
Languages
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Author (1):
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Lex Sheehan Lex Sheehan
Author Profile Icon Lex Sheehan
Lex Sheehan
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Table of Contents (13) Chapters Close

Preface 1. Pure Functional Programming in Go 2. Manipulating Collections FREE CHAPTER 3. Using High-Order Functions 4. SOLID Design in Go 5. Adding Functionality with Decoration 6. Applying FP at the Architectural Level 7. Functional Parameters 8. Increasing Performance Using Pipelining 9. Functors, Monoids, and Generics 10. Monads, Type Classes, and Generics 11. Category Theory That Applies 12. Miscellaneous Information and How-Tos

Example implementations


Now that we see the value in the pipeline pattern, let's start planning a Go implementation of one.

In Go, pipelines are implemented using a series of stages connected by Go channels. A Go pipeline begins with a data source (aka producer), has stages that are connected via channels, and ends with a data sink (aka consumer).

The data source can be a generator function that sends data to the first stage and then closes the initial outbound channel.

Each filter (step or stage) in the pipeline:

  • Consists of one or more Goroutines that run the same function (aka filter)
  • Receives upstream data via one or more inbound channels
  • Transforms the data in some way
  • Sends data downstream via one or more outbound channels
  • Closes its outbound channels when all the send operations are completed
  • Keeps receiving values from inbound channels until those channels are closed

Example transformer functions include the following: 

  • Accumulator
  • Aggregator
  • Delta (to calculate the change between two sample...
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