Hands-On Design Patterns and Best Practices with Julia: Proven solutions to common problems in software design for Julia 1.x - Couverture souple

Kwong, Tom

Couverture souple

ISBN 10 : 183864881X ISBN 13 : 9781838648817

Editeur : Packt Publishing, 2020

Synopsis

Design and develop high-performance, reusable, and maintainable applications using traditional and modern Julia patterns with this comprehensive guide

Key Features

• Explore useful design patterns along with object-oriented programming in Julia 1.0
• Implement macros and metaprogramming techniques to make your code faster, concise, and efficient
• Develop the skills necessary to implement design patterns for creating robust and maintainable applications

Book Description

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.

What you will learn

• Master the Julia language features that are key to developing large-scale software applications
• Discover design patterns to improve overall application architecture and design
• Develop reusable programs that are modular, extendable, performant, and easy to maintain
• Weigh up the pros and cons of using different design patterns for use cases
• Explore methods for transitioning from object-oriented programming to using equivalent or more advanced Julia techniques

Who this book is for

This book is for beginner to intermediate-level Julia programmers who want to enhance their skills in designing and developing large-scale applications.

Table of Contents

1. Design Patterns and Related Principles
2. Modules, Packages, and Data Type Concepts
3. Designing Functions and Interfaces
4. Macros and Meta Programming Techniques
5. Reusability Patterns
6. Performance Patterns
7. Maintainability Patterns
8. Robustness Patterns
9. Miscellaneous Patterns
10. Anti-Patterns
11. Object Oriented Traditional Patterns
12. Inheritance and Variance

A propos du livre

À propos de l?auteur

Tom Kwong, CFA, is an experienced software engineer with over 25 years of industry programming experience. He has spent the majority of his career in the financial services industry. His expertise includes software architecture, design, and the development of trading/risk systems. Since 2017, he has uncovered the Julia language and has worked on several open source packages, including SASLib.jl. He currently works at Western Asset Management Company, a prestige asset management company that specializes in fixed income investment services. He holds an MS degree in computer science from the University of California, Santa Barbara (from 1993), and he holds the Chartered Financial Analyst® designation since 2009.

Détails de l'édition

• Éditeur: Packt Publishing
• Date d'édition: 2020
• Langue: anglais
• ISBN 10: 183864881X
• ISBN 13: 9781838648817
• Reliure: Broché
• Nombre de pages: 532
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible