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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

Generics implementation options


Below is a decision matrix that can be used to evaluate which generics implementation is best.

There are many aspects to consider when we think about how to implement generics. For example, let's consider the difference between Haskell's parametric polymorphism and C++'s ad hoc polymorphism.

In Haskell, polymorphic functions are defined uniformly for all types. We could call this compile time polymorphism.

In C++, dynamic polymorphism, via substitution, virtual functions and interfaces enable polymorphic behavior, but whether our implementation works for any particular type is decided at runtime when the concrete type is substituted for its parameter.

C++ templates offer a similar functionality without the runtime overhead of dynamic polymorphism. The tradeoff is the fact that the flexibility is fixed at compile time.

Type classes in Haskell allow us to define different behaviors for the same function for different types. In C++, we do this using template specialization...

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