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Hands-On Design Patterns and Best Practices with Julia

You're reading from  Hands-On Design Patterns and Best Practices with Julia

Product type Book
Published in Jan 2020
Publisher Packt
ISBN-13 9781838648817
Pages 532 pages
Edition 1st Edition
Languages
Author (1):
Tom Kwong Tom Kwong
Profile icon Tom Kwong

Table of Contents (19) Chapters

Preface 1. Section 1: Getting Started with Design Patterns
2. Design Patterns and Related Principles 3. Section 2: Julia Fundamentals
4. Modules, Packages, and Data Type Concepts 5. Designing Functions and Interfaces 6. Macros and Metaprogramming Techniques 7. Section 3: Implementing Design Patterns
8. Reusability Patterns 9. Performance Patterns 10. Maintainability Patterns 11. Robustness Patterns 12. Miscellaneous Patterns 13. Anti-Patterns 14. Traditional Object-Oriented Patterns 15. Section 4: Advanced Topics
16. Inheritance and Variance 17. Assessments 18. Other Books You May Enjoy

Parametric methods revisited

The ability to dispatch to various methods based upon subtyping relationships is a key feature of the Julia language. We initially introduced the concept of parametric methods in Chapter 3, Designing Functions and Interfaces. In this section, we will go a little deeper and examine some subtle situations about how methods are selected for dispatch.

Let's start with the basics: how do we specify type variables for parametric methods?

Specifying type variables

When we define a parametric method, we use the where clause to introduce type variables. Let's go over a simple example:

triple(x::Array{T,1}) where {T <: Real} = 3x

The triple function takes an Array{T}, where T is any subtype...

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