Say we have an array (in JavaScript term) or list (in Python term), this article illustrate a simple functional programming example. i.e.

```
Input: [1, 2, 3, 4, 5]
Process: square each element
Output: [1, 4, 9, 16, 25]
```

# JavaScript Solution

In JavaScript we use `map()` to do functional programming. e.g.

```.js
// define a function suitable for JavaScript functional programming
const square_it = (element) => element ** 2

// create a dummy array
const a = [1, 2, 3, 4, 5]

// apply square to each element of the array
const a2 = a.map(square_it)

// print result to terminal
console.log(a2)   // [ 1, 4, 9, 16, 25 ]
```

# Python Solution

In Python, we can do something similar with list comprehension like this:

```.py
#  define a function suitable for Python functional programming
def square_it(element):
    return element ** 2

#  create a dummy list
a = [1, 2, 3, 4, 5]

#  apply square to each element of the list
a2 = [square_it(x) for x in a]

#  print result to terminal
print(a2) # [0, 1, 4, 9, 16]
```

See the similarity?