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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

Inheritance and Variance

If we had to choose the most important thing to learn in Julia, or in any programming language, then it has to be the concept of the data type. Abstract types and concrete types work together, providing the programmer with a powerful tool to model solutions to solve real-world problems. Multiple dispatch rely on well-defined data types to invoke the right functions. Parametric types are used so that we can reuse the basic structure of an object with a specific physical representation of the underlying data. As you can see, having a well-thought-out design for data types is of the utmost importance in software engineering practice.

In Chapter 2, Modules, Packages, and Data Type Concepts, we learned about the basics of abstract and concrete types and how to build a type hierarchy based upon an inheritance relationship between the types. In Chapter 3...

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