The modern JavaScript with the ES6 syntax and the rise of the popularity like ReactJS, functional programming becomes more and more common. When using React, one of the common practice is to use composition instead of inheritance.

Because I started learning programming when the OOP was the most prevailing paradigm, I was trained to solve the problem by using OOP concepts like polymorphoism, inheritance, encapsulation, etc.

I think JS is the most interesting programming language in the modern technology. It supports server-side and client-side development. With the ES6, it supports OOP keywords like class and also using FP (functional programming) syntax like fat arrow (=>).

Recently, I feel fervent to learn functional programming, because i) (in my opinion), it will become a trend, and ii) the interpreter can be used as an advanced calculator.

Since I am teaching Statistics, I want to do some calculation of the normal distribution probability.

Before I begin, I need to mention, in order to calculate the normal distribution probability something like P(x < X), this can be done by using a spreadsheet software with NORMDIST() and NORM.INV() for the inverse of the former function.