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

Summary

In this chapter, we have looked at several patterns related to improving the readability and maintainability of an application.

First, we learned about when a module becomes too large and when it should be considered for reorganization. We realized that coupling is an important consideration when splitting code into separate modules. Next, we discussed the problem of constructing objects that have many fields. We determined that using a keyword-based constructor can make the code more readable and can provide additional flexibility of supporting default values. We learned that the Julia Base module already provides a macro.

Then we explored how to do code generation, which is a convenient technique for dynamically defining many similar functions without having to repeat the code. We picked up a utility from CodeTracking to review the generated source code.

Finally, we...