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

Performance Patterns

This chapter includes patterns related to improving system performance. High performance is a major requirement in scientific computing, artificial intelligence, machine learning, and big data processing. Why is that? 

In the past decade, data has grown almost exponentially thanks to the scalability from the cloud. Think about the Internet of Things (IoT). Sensors are all around us—home security systems, personal assistants, and even room temperature controls are collecting tons of data continuously. Furthermore, the data being collected is stored and analyzed by companies that want to build smarter products. Use cases such as these demand more computing power and speed.

I once debated with a colleague about the use of cloud technologies for solving computationally intensive problems. Computing resources are definitely available in the cloud...