Data-oriented programming : reduce software complexity /

Code that combines behavior and data, as is common in object-oriented designs, can introduce almost unmanageable complexity for state management. The data-orineted programming (DOP) paradigm simplifies state management by holding application data in immutable generic data structures and then perfor...

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Bibliographic Details
Main Author: Sharvit, Yehonathan (Author)
Other Authors: Nygard, Michael T. (writer of foreword.), Singer, Ryan (writer of foreword.)
Format: eBook
Language:English
Published: Shelter Island, NY : Manning Publications, 2022.
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Online Access:Connect to the full text of this electronic book
Description
Summary:Code that combines behavior and data, as is common in object-oriented designs, can introduce almost unmanageable complexity for state management. The data-orineted 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. Data-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.
Item Description:Includes index.
Physical Description:1 online resource (xxv, 396 pages) : illustrations.
ISBN:9781617298578
1617298573
9781638356783
1638356785