João Pedro Oliveira kimjoaoun

Buying FTM

If you have no other cryptos yet create and account at an exchange, for buying FTM we recommend Binance - Same link without referal code because it integrates the Fantom Opera network (the main fantom network)
After creating an account at an exchange, deposit FIAT money (that's crypto lingo for paper money) into your exchange balance
Once you have deposited funds you can either purchase FTM directly from a market or use the binance automatic converter.

Installing a browser wallet

i3 Window Manager Cheat Sheet

$mod refers to the modifier key (alt by default)

General

startx i3 start i3 from command line
$mod+<Enter> open a terminal
$mod+d open dmenu (text based program launcher)
$mod+r resize mode ( or to leave resize mode)
$mod+shift+e exit i3

A good commit message looks like this:

Header line: explaining the commit in one line

Body of commit message is a few lines of text, explaining things
in more detail, possibly giving some background about the issue
being fixed, etc etc.

The body of the commit message can be several paragraphs, and
please do proper word-wrap and keep columns shorter than about

	library(rtweet)
	library(dplyr)
	library(ggplot2)

	df_favorite<- rtweet::get_favorites("@barbalhofernand", n=3000)


	users_favorite<-
	df_favorite %>%
	group_by(screen_name, user_id) %>%

	library(tidyverse)
	library(glue)
	library(lubridate)

	post_tweet <- print

	tribble(
	~local, ~data_str, ~mensagem,
	"PUC-Rio", "17/12/2019", "VAMO LÁ PORRA, JÁ TA ACABANDO!!!",
	"UFRJ", "14/12/2019", "VAMO LÁ PORRA, DIAS MELHORES VIRÃO!!!",

	# Get a person's name, location, summary, # of connections, and skills & endorsements from LinkedIn

	# URL of the LinkedIn page
	user_url <- "https://www.linkedin.com/in/daattali"

	# since the information isn't available without being logged in, the web
	# scraper needs to log in. Provide your LinkedIn user/pw here (this isn't stored
	# anywhere as you can see, it's just used to log in during the scrape session)
	username <- "yourusername"
	password <- "yourpassword"

	library(markovchain)

	text <- readLines('text.txt')
	text <- text[nchar(text) > 0]

	text <- gsub('.', ' .', text, fixed = TRUE)
	text <- gsub(',', ' ,', text, fixed = TRUE)
	text <- gsub('!', ' !', text, fixed = TRUE)
	text <- gsub('(', '( ', text, fixed = TRUE)
	text <- gsub(')', ' )', text, fixed = TRUE)

	$estadosBrasileiros = array(
	'AC'=>'Acre',
	'AL'=>'Alagoas',
	'AP'=>'Amapá',
	'AM'=>'Amazonas',
	'BA'=>'Bahia',
	'CE'=>'Ceará',
	'DF'=>'Distrito Federal',
	'ES'=>'Espírito Santo',
	'GO'=>'Goiás',