Data-oriented programming: reduce software complexity, yehonathan sharvit

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. Також купити книгу Data-Oriented Programming: Reduce software complexity, Yehonathan Sharvit можливо по посиланню: