This article is an excerpt from my book about Data-Oriented Programming.

More excerpts are available on my blog.

Before we start

1. What is Data Oriented Programming

Part 1: Design a Data Oriented system

1. The tendency to complexity of Object Oriented programming

2. Principles of Data Oriented programming

3. Decrease complexity by separating Code from Data

4. Gain power by representing data records as maps

5. Maintain effectiveness by managing state with immutable data

Part 2: Implement a Data Oriented system

1. State management in an immutable world

2. Data manipulation kills bugs in the egg

3. The data manipulation tool set in action

4. Write unit tests without mocking

5. Debug your program without a debugger

Part 3: Evolve a Data Oriented system

1. Write your own data manipulation tool set

2. Extend the primitive data types

3. Specify the shape of your data

4. Write unit tests that cover every possible data combination with property based testing

Are you now motivated to discover the DO world?

Start reading the introduction.

This article is an excerpt from my book about Data-Oriented Programming.

More excerpts are available on my blog.