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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Detalles Bibliográficos
Otros Autores: Sharvit, Yehonathan, author (author), Nygard, Michael T., writer of foreword (writer of foreword), Singer, Ryan, writer of foreword
Formato: Libro electrónico
Idioma:Inglés
Publicado: Shelter Island, New York : Manning Publications Co [2022]
Edición:[First edition]
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009676318806719
Descripción
Sumario: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.
Notas:Includes index.
Descripción Física:1 online resource (333 pages)
Bibliografía:Includes bibliogaphical references and index.
ISBN:9781638356783