Data-Oriented Programming

Reduce Software Complexity

De: Yehonathan Sharvit

Narrado por: Julie Brierley

Duración: 9 h y 42 m

Resumen del Editor

Eliminate the unavoidable complexity of object-oriented designs. The innovative data-oriented programming paradigm makes your systems less complex by making it simpler to access and manipulate data.

In Data-Oriented Programming you will learn how to:

• Separate code from data
• Represent data with generic data structures
• Manipulate data with general-purpose functions
• Manage state without mutating data
• Control concurrency in highly scalable systems
• Write data-oriented unit tests
• Specify the shape of your data
• Benefit from polymorphism without objects
• Debug programs without a debugger

Data-Oriented Programming is a one-of-a-kind guide that introduces the data-oriented paradigm. This groundbreaking approach represents data with generic immutable data structures. It simplifies state management, eases concurrency, and does away with the common problems you’ll find in object-oriented code. The book presents powerful new ideas through conversations, code snippets, and diagrams that help you quickly grok what’s great about DOP. Best of all, the paradigm is language-agnostic—you’ll learn to write DOP code that can be implemented in JavaScript, Ruby, Python, Clojure, and also in traditional OO languages like Java or C#.

About the technology

Code that combines behavior and data, as is common in object-oriented designs, can introduce almost unmanageable complexity for state management. The Data-oriented programming (DOP) paradigm simplifies state management by holding application data in immutable generic data structures and then performing calculations using nonmutating general-purpose functions.

About the audience

For programmers who have experience with a high-level programming language like JavaScript, Java, Python, C#, Clojure, or Ruby.

About the author

Yehonathan Sharvit has over 20 years of experience as a software engineer. He blogs, speaks at conferences, and leads Data-Oriented Programming workshops around the world.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2022 Manning Publications (P)2022 Manning Publications

Not the book to learn about data-oriented design

This book is difficult to listen to and learn from due to the way it's written. Presumably the author thought it would be helpful to explain the principles in a narrative form between mentor and disciple, but all it does is constantly interrupt the flow of information and makes it all the more difficult to grok the concepts. The story feels forced and doesn't add any value. Although the narrators voice is fine, it's a single voice that continuously switches between Joe and Theo, stating their names each time repetitively, with a lot of unnecessary verbiage. One has to work to mentally filter out the dialog to get to the nuggets of information, which are sparsely spread throughout. It sounds more like someone reading a script for a training video (speaking aloud the silent parts). For anyone reading this looking for a practical guide to learn and improve data-oriented design, I would suggest looking elsewhere. Ironically, this book would have been much better if it stuck to the principles of DOP itself and communicated directly from author to reader with succinct relevant information.

Not worth the time

It is probably meant for java devs who never seen any other than oop approach in writing the code. Could not last longer than 1/3 of it. It basically describes some lodash functions