JavaScript is partly a functional language.
To learn JavaScript, we got to learn the functional parts of JavaScript.
In this article, we’ll look at how to use the functional programming features in JavaScript.
Functional Programming Benefits
Functional programming has various benefits.
This is why it’s being adopted into programming languages like JavaScript.
Pure Functions
One benefit of functional programming is that we define pure functions in our code.
A pure function returns the same output if we pass in the same input to it.
For instance, we can write:
const square = (value) => value ** 2;
We get the value and we return the square of it.
This doesn’t change regardless of what happens outside.
The benefit is that pure functions can easily be tested.
We can just check the output after giving it some input.
Since it doesn’t depend on anything outside, we can check for it easily.
We can check the returned value by writing something like:
square(2) === 4
Reasonable Code
It’s easy to read the code since the code for the function all reside inside the function.
For example, if we have:
const square = (value) => value ** 2;
All we did is square the number which is passed in.
There’s nothing outside, so we can look at it easily.
Parallel Code
Since pure functions don’t depend on any values outside the function, we don’t have to worry about synchronize our function’s value with something outside.
If we have global values, then we may have to do something like this:
let global = "something"
let foo = (input) => {
global = "somethingElse"
}
let bar = () => {
if (global === "something") {
//...
}
}
We’ve to check the value for the global variable before doing something.
With pure function, we don’t have to do that since there are no external dependencies.
Cachable
Pure functions always return the same output for the given input.
So we can cache the function outputs easily.
We just use the input as the key and the output as the value.
We can just look up the value from the cache.
With caching, we can increase the speed of our code.
For example, we can keep a cache with an object:
const cache = {
1: 2,
3: 4,
//...
}
Then we can check or the cached value by writing:
const value = cache.hasOwnProperty(input) ?
cache[input] :
cache[input] = longRunningFunction(input)
We check for the cached value before we run the longRunningFunction .
Pipelines and Composable
We can compose pure functions easily.
We just pass in the return value of one pure function to another pure function.
For example, we can write:
const foo = (a) => {
return a * 2;
}
const bar = (b) => {
return b * 3;
}
We can compose the functions by writing:
foo(bar(100));
It looks like a mathematical function and it’s a mathematical function.
Conclusion
Functional programming has various benefits.
We can run code in parallel easily since we don’t have to synchronous code.
Also, we can compose functions easily.
They’re also easier to read and test.
