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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 Proven solutions to common problems in software design for Julia 1.x

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781838648817
Length 532 pages
Edition 1st Edition
Languages
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Author (1):
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Tom Kwong Tom Kwong
Author Profile Icon Tom Kwong
Tom Kwong
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Getting Started with Design Patterns
2. Design Patterns and Related Principles FREE CHAPTER 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

Leveraging parametric methods

Julia's type system and multiple dispatch feature provide a powerful foundation for writing extendable code. As it turns out, we can also use parametric types in function arguments. We can call these parametric methods. Parametric methods provide an interesting way to express what data types may be matched during dispatch.

In the following sections, we will go over how to utilize parametric methods in our game.

Using type parameters

When defining functions, we have an option to annotate each argument with type information. The type of an argument can be a regular abstract type, concrete type, or a parametric type. Let's consider this sample function for exploding an array of game pieces...

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