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Data-Oriented Programming

Reduce software complexity
by Yehonathan Sharvit
The cover of Data-Oriented Programming
3.7/5 on Goodreads
ISBN 9781617298578
Published in 2022
424 pages

Description

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#.