Overview

Data-Oriented Programming teaches you to design and implement software using the data-oriented programming paradigm. In it, you'll learn author Yehonathan Sharvit's unique approach to DOP that he has developed over a decade of experience. Every chapter contains a new light bulb moment that will change the way you think about programming. As you read, you'll build a library management system using the DOP paradigm. You'll design data models for business entities, manipulate immutable data collections, and write unit tests for data-oriented systems. About the Technology Data-oriented programming is an exciting new paradigm that eliminates the usual complexity caused by combining data and code into objects and classes. In DOP, you maintain application data in persistent generic data structures separated from the program's code. You use general-purpose functions to manipulate the data without mutating it. This approach rids your applications of state-related bugs and makes your code much easier to understand and maintain.

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9781617298578

Table of Contents

Reviews

Insightful. Nicely illustrates the limits of OOP in managing the complexity of developing software. Explains how focusing on the data can simplify solving certain problems. Gregor Rayman This is a great guide to using Data-Oriented Programming to improve any new or existing OOP codebase. William E. Wheeler An interesting read-a different approach that's worth examining and considering. It'll open your mind. Anne Epstein Read this through if you want to learn a different point of view and want to experience many 'aha!' moments. Christian Kreutzer-Beck Follows a very novel approach to introduce DOP concepts. Must read it if you want to rescue yourself from OOP. Kelum Prabath Senanayake

Author Information

Yehonathan Sharvit has over twenty years experience as a software engineer, programming with C++, Java, Ruby, JavaScript, Clojure and ClojureScript. He currently works as a software architect at Cycognito building software infrastructures for high scale data pipelines. He writes about software engineering at his blog, speaks at conferences, and leads Clojure workshops around the world.

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