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

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...