Darío Villanueva radiodario

YOU'RE HIRED.

Central limit theorem

In probability theory, the central limit theorem (CLT) states that, given certain conditions, the arithmetic mean of a sufficiently large number of iterates of independent random variables, each with a well-defined expected value and well-defined variance, will be approximately normally distributed.[1] That is, suppose that a sample is obtained containing a large number of observations, each observation being randomly generated in a way that does not depend on the values of the other observations, and that the arithmetic average of the observed values is computed. If this procedure is performed many times, the central limit theorem says that the computed values of the average will be distributed according to the normal distribution (commonly known as a "bell curve").

Test

This is a juttle test. Everything is pretty sweet.

Let's add a bit more test here explaining what this juttle is about

View this code at http://livecoding.io/7469740

View this code at http://livecoding.io/7467367

The Official Compendium of Useful Opcodes

Culled from the Mists of Time by David Salzman John von Neumann National Supercomputer Center

AG       Add Gibberish
AGO      Allow Games Only
AII      Add Insult to Injury

APX Apply Power and eXplode

	var data = [
	[
	{
	time: new Date(2000, 1, 1),
	value: 10
	},
	{
	time: new Date(2000, 1, 2),
	value: 20
	},

	var $now = Date.now();
	var pi = Math.PI;
	function sinc(x) => (x==0)?1:Math.sin(pix)/(pix);
	proc source(start, end, step) {
	var N = (end - start) / step, HZ = 1 / step;
	emitter -hz HZ -limit N -start (start*1000) -reset 1 }
	source(-5,5,0.1) \| put x=time/1000, y=(sinc(3x)+1)10
	-> timechart -duration 10 -columns y

	module.exports =
	collections:
	countries: ->
	@getCollection('html')
	.getFilesAtPath('countries')
	.on 'add', (model) ->
	console.log(model)
	model.set 'layout', 'country'

	body {
	text-align: center;
	}

	.yay {
	font-size: 70px;
	}