What is the purpose of data immutability in computer programming, and how does it benefit developers?
Data immutability refers to the concept of creating data structures that cannot be modified once they are created. This means that any change made to the data creates a new instance of the data rather than modifying the original instance.

The purpose of data immutability in computer programming is to ensure that data remains consistent throughout the application. When data is immutable, it cannot be changed accidentally or intentionally by other parts of the program. This means that data is more predictable and reliable, and it makes it easier to reason about and test the code.

There are several benefits of using immutable data structures in programming, including:

- Thread safety: Immutable data structures can be shared across multiple threads without any risk of data corruption. This is because each thread can only read the data, but not modify it.

- Easier debugging: Since immutable data cannot be modified, it eliminates the possibility of bugs that arise due to unexpected changes to the data.

- Performance improvements: Immutable data structures can be optimized for performance because they are read-only, and do not need to worry about thread synchronization or other potential side effects.

- Better code organization: Immutable data structures can be used to separate the concerns of the data and the behavior that operates on that data. This makes it easier to reason about the code, and to build more modular and maintainable applications.

Overall, data immutability is a powerful tool that can help developers build more reliable, predictable, and scalable software.
What are some arguments against data immutability? Use a blockchain implementation as an example.