Edgar Castro ercas

1. Create compressed squashfs image

Use mksquashfs to create a compressed image from a directory. Depending on how compressible the files are you could put on much more than 4.7 GB on a single disc.

mksquashfs /path/to/my/directory image.sqfs

You can use a different compression algorithm with e.g. -comp zstd or append multiple times to one archive to fill it up to almost the allowable size.

2. Reencrypt the image to wrap it in a LUKS container

How to use Neovim or VIM Editor as an IDE for R

Note: This tutorial is written for Linux based systems.

Requirements

R >= 3.0.0

To install the latest version of R please flollow the download and install instructions at https://cloud.r-project.org/

Neovim >= 0.2.0

Neovim (nvim) is the continuation and extension of Vim editor with the aim to keep the good parts of Vim and add more features. In this tutorial I will be using Neovim (nvim), however, most of the steps are equally applicable to Vim also. Please follow download and installation instructions on nvim's GitHub wiki https://github.com/neovim/neovim/wiki/Installing-Neovim.

How to recover lost Python source code if it's still resident in-memory

I screwed up using git ("git checkout --" on the wrong file) and managed to delete the code I had just written... but it was still running in a process in a docker container. Here's how I got it back, using https://pypi.python.org/pypi/pyrasite/ and https://pypi.python.org/pypi/uncompyle6

Attach a shell to the docker container

Install GDB (needed by pyrasite)

apt-get update && apt-get install gdb

This gist shows in two steps how to tilt and stack maps using ggplot2 in order to create an image like this one: [![enter image description here][1]][1]

Let's load the necessary libraries and data to use a reproducible example:

# load libraries
  library(rgeos)
  library(UScensus2000tract)
  library(ggplot2)

	#!/usr/bin/python3
	import concurrent.futures
	import hashlib
	import os
	import sys

	import gi
	gi.require_version('GnomeDesktop', '3.0')
	from gi.repository import Gio, GnomeDesktop

	library(data.table)

	?`[.data.table`

	DT <- data.table(x=rep(c("b","a","c"),each=3), y=c(1,3,6), v=1:9)
	X <- data.table(x=c("c","b"), v=8:7, foo=c(4,2))

	colnames(DT)
	# [1] "x" "y" "v"

	#!/bin/bash
	#
	# Loads / unloads pulseaudio loopback module in order to eg. be redirect
	# mic input to headphones.
	#
	# Usage: mic-loopback [on\|off]
	#

	if [ $# -ne 1 ]; then
	echo "Usage: $0 [on\|off]"