Functional programming is a paradigm where you build software by creating and combining functions that take an input, perform operations, and produce an output, ensuring predictability.
Benefits include reusability, statelessness, ease of testing, and concurrency friendliness.
Pure functions in functional programming strictly adhere to rules like always returning a single value, based only on inputs, and not mutating existing values.
Impure functions may exist due to violating these rules, which could hinder the alignment with functional programming goals.
Managing large data sets in functional programming may sometimes require compromises on immutability for performance optimization.
In Java, manual copying is often necessary to maintain immutability in collections, unlike languages with built-in immutable collections.
A sample function 'doubleAllValues' is illustrated to create a new collection to prevent mutation, showcasing the balance between immutability and performance.
Understanding pure functions and following their rules is essential in functional programming, although there are additional concepts to delve into.
For further exploration of functional programming, references like the book 'Grokking Functional Programming' are suggested.
Functional programming emphasizes building software by combining predictable functions and adhering to principles like imperative style, statelessness, and immutability.
The concepts of pure functions serve as a foundational element in understanding and applying functional programming principles.