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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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Shelter Island, NY :
Manning Publications,
2022.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
| 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. |
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| Notas: | Includes index. |
| Descripción Física: | 1 online resource (xxv, 396 pages) : illustrations. |
| ISBN: | 9781617298578 1617298573 9781638356783 1638356785 |