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
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.
about the book
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.
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