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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

Covariance, invariance, and contravariance

As it turns out, the rules for subtyping are not very straightforward. When you look at a simple type hierarchy, you can immediately tell whether one type is a subtype of another by tracing the relationships of the data types in the hierarchy. The situation becomes more complex when parametric types are involved. In this section, we will take a look at how Julia is designed with respect to variance, a concept that explains subtyping relationships for parametric types.

Let's first review the different kinds of variance.

Understanding different kinds of variance

There are four different kinds of variance as described in computer science literature. We will first describe them...

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