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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
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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

Chapter 9

What predefined data type can be used to conveniently create new singleton types?

The built-in Val type can be used to create new singleton types easily. The Val constructor function can accept any bits-type value and return a singleton of type Val{X}, where X is the value being passed to the constructor function.

What are the benefits of using singleton type dispatch?

Using singleton type dispatch, we can eliminate conditional statements that depend on the data type. It also allows us to add new functionalities by just defining new functions, without having to modify an existing function. Because Julia does the dispatch natively, there is no need to create any custom function just for dispatch.

Why do we want to create stubs?

Stubs are very useful indeed in automated testing. First, if a function requires connecting to a remote web service, then it can...

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