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. \n \nIn Data-Oriented
Programming you will learn how to: \n \nSeparate code from data \nRepresent
data with generic data structures \nManipulate data with general-purpose
functions \nManage state without mutating data \nControl concurrency in highly
scalable systems \nWrite data-oriented unit tests \nSpecify the shape of your
data \nBenefit from polymorphism without objects \nDebug programs without a
debugger \n \nData-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#. \n \nAbout the
technology \nCode 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 non-mutating general-purpose functions.
Your applications are free of state-related bugs and your code is easier to
understand and maintain. \n \nAbout the book \nData-Oriented Programming
teaches you to design software using the groundbreaking data-oriented
paradigm. You’ll put DOP into action to design data models for business
entities and implement a library management system that manages state without
data mutation. The numerous diagrams, intuitive mind maps, and a unique
conversational approach all help you get your head around these exciting new
ideas. Every chapter has a lightbulb moment that will change the way you think
about programming. \n \nWhat's inside \n \nSeparate code from data \nRepresent
data with generic data structures \nManage state without mutating data
\nControl concurrency in highly scalable systems \nWrite data-oriented unit
tests \nSpecify the shape of your data \n \nAbout the reader \nFor programmers
who have experience with a high-level programming language like JavaScript,
Java, Python, C#, Clojure, or Ruby. \n \nAbout the author \nYehonathan Sharvit
has over twenty years of experience as a software engineer. He blogs, speaks
at conferences, and leads Data-Oriented Programming workshops around the
world.
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