Under the hood

Common examples

• map
• bind (aka partial)

Map

function map (fn, list) {
  let results = [];
  for (let i = 0; i < list.length; i++) {
    results.push(fn(list[i], i));
  }
  return results;
}

Benefits

• Lets us focus on concepts ("map", "filter", "reduce") rather than implementation

let cardinalDegs = [0, 90, 180, 360];
let cardinalRads = map(MathLib.degToRad, cardinalDegs);

Partial

function partial (fn, ...boundArgs) {
  return (...calledArgs) => {
    return fn.apply(null, [...boundArgs, ...calledArgs]);
  };
}

Benefits

• Lets us build up reusable behavior
• Separates defining behavior from applying our data

let getProp = (prop, obj) => obj[prop];
let getAge = partial(getProp, 'age');
let getAges = partial(map, getAge);

let people = [
  {name: "Joe", age: 31},
  {name: "Jack", age: 32},
  {name: "Jim", age: 29}
];
let ages = getAges(people);

FP in practice

(with good ol' javascript)

Ramda.js

• Practical and performant
• Supports and encourages composition
  • Data last!
  • Auto-curried
  • Hey Underscore, You're Doing It Wrong!

Composition

• Passing the output of one function as the argument for another
• Like unix's pipe

let fgh = (x) => {
  f(g(h(x)));
};
fgx(x);

With ramda

let fgh = R.compose(f,g,h);
fgh(x);

(pro tip - read from right to left, bottom to top)

Bonus points for being "points-free"

• Function definitions do not identify the arguments (or "points") on which they operate
• In other words, you don't see the (...) => {...} syntax (less clutter)

Currying

• The ability to call a function one argument at a time
• Like partial application, but repeatable

let add3Things = (a, b, c) =>  a + b + c ;
let six = add3Things(1, 2, 3);

let curriedAdd3Things = R.curry(add3Things);

let six = curriedAdd3Things(1)(2)(3);
// or
let onePlusTwoMoreThings = curriedAdd3Things(1);
let threePlusOneMoreThing = onePlusTwoMoreThings(2);
let six = threePlusOneMoreThing(3);

A practical example

let people = [
  {name: "Joe", age: 31},
  {name: "Jack", age: 32},
  {name: "Jim", age: 29}
];

let getAges = R.map(R.prop('age')):
let ages = getAges(people); // [31, 32, 29]

What is the oldest age?

let getOldest = R.compose(R.max, getAges);
let oldest = getOldest(people); // 32

Who is under 30?

let isUnder30 = R.compose(R.gt(30), R.prop('age'));
let peopleUnder30 = R.compose(
  R.map(R.prop('name')),
  R.filter(isUnder30)
)(people); // ['Jim']