Data-Oriented Programming: Reduce complexity by rethinking data Front Cover

Data-Oriented Programming: Reduce complexity by rethinking data

  • Length: 451 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2022-08-16
  • ISBN-10: 1617298573
  • ISBN-13: 9781617298578
  • Sales Rank: #1364280 (See Top 100 Books)

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.

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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