Data-Oriented Programming: Unlearning objects (MEAP Version 14)
- Добавил: buratino
- Дата: 21-01-2022, 12:50
- Комментариев: 0
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Автор: Yehonathan Sharvit
Издательство: Manning Publications
Год: 2022
Формат: True PDF
Страниц: 447
Размер: 10 Mb
Язык: English
Eliminate the unavoidable complexity of object-oriented designs. Using the persistent data structures built into most modern programming languages, Data-oriented programming cleanly separates code and data, which simplifies state management and eases concurrency.
In Data-Oriented Programming you will learn how to:
Separate code from data
Effectively manage state using immutable data
Represent data with generic data structures
Manipulate data with general-purpose functions
Control concurrency in highly scalable systems
Specify the shape of your data
Benefit from polymorphism without objects
Debug programs without a debugger
Distinguish data-oriented programming from functional and OO programming
Data-Oriented Programming teaches you to design applications using the data-oriented paradigm. These powerful new ideas are presented through conversations, code snippets, diagrams, and even songs to help you quickly grok what’s great about DOP. You’ll learn to write DOP code that can be implemented in languages like jаvascript, Ruby, Python, Clojure and also in traditional OO languages like Java or C#.
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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