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.

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Table of Contents (19 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
1
Section 1: Getting Started with Design Patterns
Section 1: Getting Started with Design Patterns
Free Chapter
2
Design Patterns and Related Principles
Design Patterns and Related Principles
The history of design patterns
Software design principles
Software quality objectives
Summary
Questions
3
Section 2: Julia Fundamentals
Section 2: Julia Fundamentals
4
Modules, Packages, and Data Type Concepts
Modules, Packages, and Data Type Concepts
Technical requirements
The growing pains of developing applications
Working with namespaces, modules, and packages
Managing package dependencies
Designing abstract and concrete types
Working with parametric types
Conversion between data types
Summary
Questions
5
Designing Functions and Interfaces
Designing Functions and Interfaces
Technical requirements
Designing functions
Understanding Multiple Dispatch
Leveraging parametric methods
Working with interfaces
Summary
Questions
6
Macros and Metaprogramming Techniques
Macros and Metaprogramming Techniques
Technical requirements
Understanding the need for metaprogramming
Working with expressions
Developing macros
Using generated functions
Summary
Questions
7
Section 3: Implementing Design Patterns
Section 3: Implementing Design Patterns
8
Reusability Patterns
Reusability Patterns
Technical requirements
The delegation pattern
The holy traits pattern
The parametric type pattern
Summary
Questions
9
Performance Patterns
Performance Patterns
Technical requirements
The global constant pattern
The struct of arrays pattern
The shared array pattern
The memoization pattern
The barrier function pattern
Summary
Questions
10
Maintainability Patterns
Maintainability Patterns
Technical requirements
Sub-module pattern
Keyword definition pattern
Code generation pattern
Domain-specific language pattern
Summary
Questions
11
Robustness Patterns
Robustness Patterns
Technical requirements
Accessor patterns
Property patterns
Let block patterns
Exception handling patterns
Summary
 Questions
12
Miscellaneous Patterns
Miscellaneous Patterns
Technical requirements
Singleton type dispatch pattern
Stubbing/Mocking pattern
Functional pipes pattern
Summary
Questions
13
Anti-Patterns
Anti-Patterns
Technical requirements
Piracy anti-pattern
Narrow argument types anti-pattern
Nonconcrete field types anti-pattern
Summary
Questions
14
Traditional Object-Oriented Patterns
Traditional Object-Oriented Patterns
Technical requirements
Creational patterns
Behavioral patterns
Structural patterns
Summary
Questions
15
Section 4: Advanced Topics
Section 4: Advanced Topics
16
Inheritance and Variance
Inheritance and Variance
Technical requirements
Implementing inheritance and behavior subtyping
Covariance, invariance, and contravariance
Parametric methods revisited
Summary
Questions
17
Assessments
Assessments
Chapter 1 
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 9
Chapter 10
Chapter 11
Chapter 12
18
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The struct of arrays pattern

In recent years, modern CPU architecture has got fancier to meet today's demands. Due to various physical constraints, it is a lot more difficult to attain higher processor speed. Many Intel processors now support a technology called Single Instruction, Multiple Data (SIMD). By utilizing Streaming SIMD Extension (SSE) and Advanced Vector Extensions (AVX) registers, several mathematical operations can be executed within a single CPU cycle. 

That is nice, but one of the pre-requisites of utilizing these fancy CPU instructions is to make sure that the data is located in a contiguous memory block in the first place. That brings us to our topic here. How do we orient our data in a contiguous memory block? You may find the solution in this section.

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