Data-Oriented Programming • Yehonathan Sharvit & James Lewis

Learn the principles and benefits of data-oriented programming, including immutability, closures, and focusing on data transformation, and discover how it can simplify complex systems and reduce overhead.

Key takeaways

Data-oriented programming is about treating data as the first-class citizen and making it a central part of the programming process.
Immutability is a key concept in data-oriented programming, which allows for easier reasoning and debugging.
Closures can be used to encapsulate functions and data, making it easier to manage complexity and reuse code.
Data-oriented programming principles can be applied to any programming language, but are particularly beneficial in functional programming languages like Clojure.
The idea of “glasses” is important, as it highlights that different people can look at the same data with different perspectives, and that the data itself is not changed by how we look at it.
The fourth principle of data-oriented programming is to focus on data transformation rather than object-oriented programming.
Data-oriented programming can help reduce the complexity of systems by breaking them down into smaller, more manageable pieces.
Validation and schema validation are important concepts in data-oriented programming, as they can help ensure that data is correct and consistent.
The idea of “entities” is important, as it highlights that real-world problems are often made up of smaller, more manageable pieces that can be understood and worked with.
The concept of “保障” (safety) is important, as it highlights the need to ensure that data is consistent and valid in all situations.
Data-oriented programming can help reduce the overhead of object-oriented programming, such as the need to create classes and objects.
The concept of “validation” is important, as it highlights the need to ensure that data is correct and consistent.
The idea of “schemas” is important, as it highlights the need to define the structure of data and ensure that it is consistent and valid.
Data-oriented programming can help reduce the complexity of systems by breaking them down into smaller, more manageable pieces.

Data-Oriented Programming • Yehonathan Sharvit & James Lewis

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