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 started our journey by discussing how to define functions and make use of various types of function arguments, such as positional arguments, keyword arguments, and variable arguments. We talked about how to use splatting to auto assign the elements of an array or tuple to function arguments. We explored first-class functions by assigning them to variables and passing them around in functional calls. We learned how to create anonymous functions and use the do-syntax to make code more readable.

We then discussed Julia's dispatch mechanism and introduced the concept of multiple dispatch. We realized that ambiguity may exist and so we reviewed the standard tools for detecting ambiguities. We have learned how dispatch is dynamic in nature. We looked at  parametric methods and how they could be useful in several use cases, such as enforcing...