Functional Programming Concepts
Pure Functions:
Pure functions are functions that always produce the same output for the same input and have no side effects. They do not modify any external state or variables and have no dependencies on the state of the system. Pure functions are deterministic and predictable.
Example of a Pure Function:
In the above example, the addTwo
function is a pure function because it always produces the same output (input + 2) for the same input.
Immutability:
Immutability means that once an object is created, its state cannot be changed. In functional programming, immutable objects are preferred because they simplify reasoning about the code. Immutable objects are thread-safe and reduce the chance of bugs related to mutable state.
Example of Immutability:
In the above example, immutableList
is an immutable copy of mutableList
. Attempting to modify the immutable list will result in an UnsupportedOperationException
.
First-Class and Higher-Order Functions:
First-class functions treat functions as first-class citizens, allowing them to be passed as arguments to other functions, returned as values from other functions, and assigned to variables.
Higher-order functions are functions that take one or more functions as arguments or return a function as a result.
Example of First-Class and Higher-Order Functions:
In the above example, applyFunction
is a higher-order function that takes a function as an argument and applies it to a number. The square
function is a first-class function passed to applyFunction
.
Understanding and applying these functional programming concepts can lead to more robust, maintainable, and parallelizable code, especially in the context of concurrent and distributed systems. Functional programming encourages the use of these concepts, making your code more predictable and easier to reason about.
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