Laziness
Laziness is a programming concept where computations are deferred until their results are actually needed, rather than being executed immediately. It is commonly implemented through lazy evaluation, which can improve performance by avoiding unnecessary calculations and enabling the handling of infinite data structures. This concept is fundamental in functional programming languages and is used to optimize resource usage and control flow.
Developers should learn and use laziness when working with large or infinite datasets, as it reduces memory consumption and speeds up programs by only computing values on demand. It is particularly useful in functional programming for creating efficient pipelines, such as in data processing with streams or when implementing memoization. Laziness also helps in building more modular and composable code by separating computation from evaluation.