{ "item_title" : "Data-Oriented Programming", "item_author" : [" Yehonathan Sharvit "], "item_description" : "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. In Data-Oriented Programming you will learn how to: Separate code from dataRepresent data with generic data structuresManipulate data with general-purpose functionsManage state without mutating dataControl concurrency in highly scalable systemsWrite data-oriented unit testsSpecify the shape of your dataBenefit from polymorphism without objectsDebug programs without a debugger Data-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#. Forewords by Michael T. Nygard and Ryan Singer. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technologyCode 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. About the bookData-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. What's inside Separate code from dataRepresent data with generic data structuresManage state without mutating dataControl concurrency in highly scalable systemsWrite data-oriented unit testsSpecify the shape of your data About the readerFor programmers who have experience with a high-level programming language like JavaScript, Java, Python, C#, Clojure, or Ruby. About the authorYehonathan 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. Table of ContentsPART 1 FLEXIBILITY1 Complexity of object-oriented programming2 Separation between code and data3 Basic data manipulation4 State management5 Basic concurrency control6 Unit testsPART 2 SCALABILITY7 Basic data validation8 Advanced concurrency control9 Persistent data structures10 Database operations11 Web servicesPART 3 MAINTAINABILITY12 Advanced data validation13 Polymorphism14 Advanced data manipulation15 Debugging", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/61/729/857/1617298573_b.jpg", "price_data" : { "retail_price" : "69.99", "online_price" : "69.99", "our_price" : "69.99", "club_price" : "69.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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