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

Inheritance and Variance

If we had to choose the most important thing to learn in Julia, or in any programming language, then it has to be the concept of the data type. Abstract types and concrete types work together, providing the programmer with a powerful tool to model solutions to solve real-world problems. Multiple dispatch rely on well-defined data types to invoke the right functions. Parametric types are used so that we can reuse the basic structure of an object with a specific physical representation of the underlying data. As you can see, having a well-thought-out design for data types is of the utmost importance in software engineering practice.

In Chapter 2, Modules, Packages, and Data Type Concepts, we learned about the basics of abstract and concrete types and how to build a type hierarchy based upon an inheritance relationship between the types. In Chapter 3...