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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

Macros and Metaprogramming Techniques

This chapter will discuss two of the most powerful facilities in the Julia programming language: macros and metaprogramming.

In a nutshell, metaprogramming is a technique for writing code that generates code—that's why it has the prefix meta. It may sound esoteric, but it is a fairly common practice in many programming languages today. For example, C compiler uses a preprocessor to read source code and produce new source code, and then the new source code is compiled into a binary executable. For example, you can define a MAX macro, as in #define MAX(a,b) ((a) > (b) ? (a) : (b)), and this means that every time we use MAX(a,b), it is replaced with ((a) > (b) ? (a) : (b)). Note that MAX(a,b) is much easier to read than the longer form.

The history of metaprogramming is quite long. As far back as the...

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