Use Haskell's Laziness to Build Efficient, Infinite Data Structures

Haskell’s lazy evaluation model is one of the language’s key features, and it allows for the construction of infinite data structures that are efficient and memory-friendly.

Lazy evaluation means that expressions are only evaluated when they are needed, which allows you to define potentially infinite data structures without running into memory issues.

For instance, you can create an infinite list of Fibonacci numbers using Haskell’s lazy lists, and the program will only compute as many numbers as are required by the program’s logic.

This is done using Haskell’s list constructor, which generates values on demand, without creating the entire list upfront.

This enables you to work with large or infinite sequences without exhausting system memory.

By applying lazy evaluation to other parts of your program, such as parsing or filtering data, you can create more efficient algorithms that run on large datasets without consuming excessive resources.

In addition, lazy evaluation makes code more modular and reusable, as computations are only performed when necessary, providing a high degree of control over resource usage.

Moreover, Haskell's lazy evaluation model supports composability, where you can chain operations on data streams without worrying about the underlying implementation details.

This can lead to more efficient and expressive solutions, especially in complex data processing tasks.