Title Statements
- Full title :Data-oriented programming : reduce software complexity / Yehonathan Sharvit ; forewords by Michael T. Nygard and Ryan Singer.
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.
Read More ↓Edition Statements
- Publication Date:2022
Publication Statements
- Publisher(s):Manning Publications Co
- Place of Publication:Shelter Island, NY
- Language:eng
- Publication Date:2022
The Physical Object
- Description:xxv, 396 pages : : illustrations ; : 24 cm
Edition Identifiers
- ISBN:9781617298578, 1617298573
- oclc:on1289294669
- LC Classification:QA76.64
- Dewey Decimal:005.117
Table of Contents
Complexity of object-oriented programming -- Separation between code and data -- Basic data manipulation -- State management -- Basic concurrency control -- Unit tests -- Basic data validation -- Advanced concurrency control -- Persistent data structures -- Database operations -- Web services -- Advanced data validation -- Polymorphism -- Advanced data manipulation -- Debugging.
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