Book Image

Hands-On Design Patterns and Best Practices with Julia

By : Tom Kwong
Book Image

Hands-On Design Patterns and Best Practices with Julia

By: Tom Kwong

Overview of this book

Design patterns are fundamental techniques for developing reusable and maintainable code. They provide a set of proven solutions that allow developers to solve problems in software development quickly. This book will demonstrate how to leverage design patterns with real-world applications. Starting with an overview of design patterns and best practices in application design, you'll learn about some of the most fundamental Julia features such as modules, data types, functions/interfaces, and metaprogramming. You'll then get to grips with the modern Julia design patterns for building large-scale applications with a focus on performance, reusability, robustness, and maintainability. The book also covers anti-patterns and how to avoid common mistakes and pitfalls in development. You'll see how traditional object-oriented patterns can be implemented differently and more effectively in Julia. Finally, you'll explore various use cases and examples, such as how expert Julia developers use design patterns in their open source packages. By the end of this Julia programming book, you'll have learned methods to improve software design, extensibility, and reusability, and be able to use design patterns efficiently to overcome common challenges in software development.
Table of Contents (19 chapters)
1
Section 1: Getting Started with Design Patterns
3
Section 2: Julia Fundamentals
7
Section 3: Implementing Design Patterns
15
Section 4: Advanced Topics

Understanding the need for metaprogramming

At the beginning of the chapter, we boldly claimed that metaprogramming is not needed 99% of the time. That is indeed not a made-up number. At the JuliaCon 2019 conference, Professor Steven Johnson from MIT delivered a keynote speech regarding metaprogramming. He did some research about the Julia language's own source code. From his study, Julia version 1.1.0 contains 37,000 methods, 138 macros (0.4%), and 14 generated functions (0.04%). So metaprogramming code comprises less than 1% of Julia's own implementation. While this is just one example of metaprogramming's role in one language, it is representative enough that even the smartest software engineers would not use metaprogramming most of the time.

So the next question is: When do you need to use metaprogramming techniques? Generally speaking, there are several reasons...