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In functional programming, we value immutability and the notion of pure functions, meaning their outputs depend solely on their inputs without any side-effects. This is one of the reasons why we often lean away from traditional loop constructs of imperative languages, which are typically stateful and can produce side effects. Instead of using loops, we often use higher-level functions like map, filter, and reduce. These functions allow us to focus more on the "what" (the operation being performed) rather than the "how" (the control flow). It's like saying, "transform each item in this list," as opposed to, "start here, do this to each item until you get to the end." And when we do need to perform repetitive operations, we tend to use recursion rather than loops. Recursive solutions don't require mutable state and are easier to reason about, especially when the logic gets complex. Lastly, mutable state, which is common in loops, can lead to issues such as race conditions in multithreading or distributed computation environments. The minimized state changes in functional programming makes it often more suitable for these scenarios. So, it's not really about "hating" loops, but more about choosing the constructs that align better with the philosophy and goals of the functional paradigm. To conclude, In order to use imperative looping constructs, you have to violate referential transparency and immutability, which are the hallmarks of functional programming. https://en.wikipedia.org/wiki/Referential_transparency?usesk... https://en.wikipedia.org/w/index.php?title=Immutable_object&... |