ercas

library(dplyr)
library(ggplot2)
library(jsonlite)
library(lubridate)
library(stringr)

# load data ---------------------------------------------------------------

data <- fromJSON("ercas_lb-2021-07-21.json") %>%
  flatten() %>%

typelogic

nix show-derivation /nix/store/5g3180kwyi07qqbvv2r5rkr42khymqxd-simple.drv

MawKKe

#!/usr/bin/env bash
# 
#    Author: Markus (MawKKe) ekkwam@gmail.com
#    Date: 2018-03-19
#
#
# What?
#
#    Linux dm-crypt + dm-integrity + dm-raid (RAID1) 
#

goetzc

#!/bin/bash
#
# Author: http://serverfault.com/users/96883/artfulrobot
#
# This script will show most files that got modified or added.
# Renames and deletions will not be shown.
# Read limitations on:
# http://serverfault.com/questions/399894/does-btrfs-have-an-efficient-way-to-compare-snapshots
#
# btrfs send is the best way to do this long term, but as of kernel

ViktorNova

$INPUTVIDEO='input.mp4'
$OUTPUTVIDEO='output.mp4'
ffmpeg -i $INPUTVIDEO -metadata:s:v rotate="-90" -codec copy $OUTPUTVIDEO

olih

Processing JSON using jq

jq is useful to slice, filter, map and transform structured json data.

Installing jq

On Mac OS

brew install jq

piscisaureus

Locate the section for your github remote in the .git/config file. It looks like this:

[remote "origin"]
	fetch = +refs/heads/*:refs/remotes/origin/*
	url = git@github.com:joyent/node.git

Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/* to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:

datagrok

This article is now published on my website: Prefer Subshells for Context.