Felipe Custódio felipecustodio

Download Audio from YouTube

-i - ignore errors

-c - continue

-t - use video title as file name

--extract-audio - extract audio track

Amazon Web Services (AWS) & Google Cloud Platform (GCP) explained in simple English

This guide is only representative from my point of view and it may not be accurate and you should go on the official AWS & GCP websites for accurate and detailed information. It's initially inspired by AWS in simple English and GCP for AWS professionals. The idea is to compare both services, give simple one-line explanation and examples with other software that might have similiar capabilities. Comment below for suggestions.

Category	Service	AWS	GCP	Description	It's like
Compute	IaaS	Amazon Elastic Compute Cloud (EC2)	Google Compute Engine	Type-1 virtual servers	VMware ESXi, Citrix XenServer
	PaaS	AWS Elastic Beanstalk	Google App Engine	Running your app on a platform

	Readme: In the following pseudo code, [] indicates a subroutine.
	Sometimes I choose to write the subroutine inline under the [] in order to maintain context.
	One important fact about the way rollbacks are handled here is that we are storing state for every frame.
	In any real implementation you only need to store one game state at a time. Storing a game
	state for every frame allows us to only rollback to the first frame where the predicted inputs don't match the true ones.


	==Constants==
	MAX_ROLLBACK_FRAMES := Any Positive Integer # Specifies the maximum number of frames that can be resimulated
	FRAME_ADVANTAGE_LIMIT := Any Positive Integer # Specifies the number of frames the local client can progress ahead of the remote client before time synchronizing.

	// Processing code by Etienne JACOB
	// motion blur template by beesandbombs
	// opensimplexnoise code in another tab might be necessary
	// --> code here : https://gist.github.com/Bleuje/fce86ef35b66c4a2b6a469b27163591e


	int[][] result;
	float t, c;

	float ease(float p) {

	const canvasSketch = require('canvas-sketch'); // not yet released – DM me for details !

	const { vec2 } = require('gl-matrix');
	const { grid } = require('./util/procedural');
	const { clamp01 } = require('./util/math');
	const painter = require('./util/canvas-painter');
	const Random = require('./util/random');
	const { Harmonizer } = require('color-harmony');

	Random.setSeed(Random.getRandomSeed());

	WEBGL // p5 WEBGL rendering mode.
	createCanvas(w, h, renderer) // Creates a 3D canvas (if renderer is WEBGL).

	// Primitives
	plane(width, height) // Creates a plane in 3D space. Equivalent to rect() in the default rendering mode.
	plane(width, height, detailX, detailY) // Creates a plane in 3D space with the number of triangle subdivisions specified.
	box(width) // Creates a cube in 3D space.
	box(width, height, depth) // Creates a cuboid in 3D space.
	box(width, height, depth, detailX, detailY) // Creates a cuboid in 3D space with triangle subdivisions.
	sphere(radius) // Creates a sphere in 3D space.

	// note : if you're on github gist and want to copy paste this code, you can click on the "Raw" button
	// and then do Ctrl A, Ctrl C, Ctrl V
	// (code below by Kurt Spencer, slightly modified code to run as Processing tab)
	// maybe you should rather use this new (improved) version of the noise instead : https://github.com/KdotJPG/OpenSimplex2

	/*
	* OpenSimplex Noise in Java.
	* by Kurt Spencer
	*
	* v1.1 (October 5, 2014)

	@echo off
	wsl exit
	powershell -Command "Set-NetAdapterLso -Name 'vEthernet (WSL)' -IPv4Enabled $False -IPv6Enabled $False"

	// Implement a Graph
	// basic operations:
	// - add vertex (node)
	// - add edge (node -> node)

	function GraphNode(val) {
	this.val = val;
	this.edges = {};
	}

	import urllib2
	# Create dictionary
	words = []
	for line in urllib2.urlopen("https://raw.githubusercontent.com/dolph/dictionary/master/enable1.txt"):
	words.append(line)