deomorxsy

Setting up keyboard to br-abnt2:

[asari@asari ~]$ setxkbmap -print -verbose 10 
Setting verbose level to 10 
locale is C 
Trying to load rules file ./rules/evdev... 
Trying to load rules file /usr/share/X11/xkb/rules/evdev... 
Success. 
Applied rules from evdev: 
rules: evdev

26/03/2021

cd ~/.vim/bundle/
git clone https://github.com/roxma/vim-hug-neovim-rpc.git

cd ~/path/you/want/to/clone/python-locallib.git
git clone https://aur.archlinux.org/python-locallib.git
cd ~/path/to/python-locallib.git

#!/usr/bin/python3
segundos=int(input())
h =segundos//3600
segundos =segundos%3600
minutos =segundos//60
segundos =segundos%60
print("%d:%d:%d", % h, minutos, segundos)

#!/bin/bash

touch pacman-latest.txt;
grep -i installed /var/log/pacman.log >> pacman-latest.txt;

Part I

"If you log in in text mode then start a GUI session with xinit or with the wrapper script startx, then xinit does the following things:

Start an X server (typically through the script /etc/X11/xinit/xserverrc).
Usually run some scripts in /etc/X11 (typically /etc/X11/xinit/xinitrc), depending on how it's set up.
Run ~/.xinitrc, if it exists. If it doesn't exist, run a default client (traditionally xterm).
Once ~/.xinitrc terminates, kill the X server.

If you log in in graphical mode on an X display manager (xdm, gdm, kdm, wdm, lightdm, …), traditionally, what is executed after you log in is some scripts in /etc/X11 then ~/.xsession.

Comandos adicionais

Faça o download de um pacote sem instalá-lo:

pacman -Sw nome_pacote

changing code editor in git:

Set core.editor in your Git config: git config --global core.editor "vim"
Set the GIT_EDITOR environment variable: export GIT_EDITOR=vim

Is it previously booted?

wipefs --all /dev/sd[letter]

Is it currently for file storage? OK.*

mkfs.vfat -n 'PENDRIVE NAME' -I /dev/sd[letter]

	---
	author: deomorxsy
	title: Meios de mostrar imagens em arquivos rmd
	date: 05/03/2020
	output: pdf_document
	---

	# Abstract

	Podemos usar as bibliotecas png e grid para exibir a imagem, especificando suas dimensões:

	import pandas as pd
	from tqdm import tqdm
	import csv
	import random
	import string
	from pyspark.sql import SparkSession
	from pyspark.sql.functions import *

	random.seed(1999)