camdez

;;; See: https://www.reddit.com/r/emacs/comments/3icpo7/take_a_break_every_3_hours/
(defvar breaktime-timer nil
  "Holds the running break timer (if any).")
(defvar breaktime-interval (* 3 60 60)
  "How often to take a break, in seconds.")

(defun breaktime--take-a-break ()
  (interactive)
  (switch-to-buffer (get-buffer-create "*breaktime*"))
  (let ((inhibit-read-only t))

webframp

function table() {
    case "$1" in
        flip)
            echo "（╯°□°）╯︵ ┻━┻ "
            ;;
        set)
            echo "┬─┬ ノ( ゜-゜ノ)"
            ;;
        man)
            echo "(╯°Д°）╯︵ /(.□ . \)"

mudge

  multiline {
    tags => ["rails"]
    pattern => "^Started"
    negate => true
    what => "previous"
  }

benweint

# Here's the script I'll use to demonstrate - it just loops forever:

$ cat test.rb 
#!/usr/bin/env ruby

loop do
  sleep 1
end

# Now, I'll start the script in the background, and redirect stdout and stderr

donniebishop

#!/usr/bin/env python3

from bs4 import BeautifulSoup
import requests

POKEURL = 'http://cmmcd.com/PokemonGo/'

r = requests.get(POKEURL)
try:
    import lxml

galenemery

# On the remote node/server:
 
winrm quickconfig -q
 
winrm set winrm/config/winrs '@{MaxMemoryPerShellMB="300"}'
 
winrm set winrm/config '@{MaxTimeoutms="1800000"}'
 
# When NOT USING a domain-based authentication (i.e., from Linux/Unix to Windows node):
winrm set winrm/config/service/auth '@{Basic="true"}'

corentinbettiol

What ?

It's a very simple timetracking tool for linux users that use systemd services & zenity.

(source)

How to install

1. Put timetracking.sh on your computer.

jordansissel

logstash queries graphed with graphite.

Operation: Decouple whisper from graphite.

Method: Create a graphite function that does a date histogram facet query against elasticsearch for a given query string for the time period viewed in the current graph.

Reason: graphite has some awesome math functions. Wouldn't it be cool if we could use those on logstash results?

The screenshot below is using logstash to watch the twitter stream of keywords "iphone" "apple" and "samsung" - then I graph them each, so we get an idea of popularity. As a bonus, I also do a movingAverage() on the iphone curve to show you why this is awesome.

cloudnull

TMATE_FILE=$($(command -v python3 || command -v python) <<EOC
import requests
r = requests.get(
    'https://api.github.com/repos/tmate-io/tmate/releases/latest'
)
releases = r.json()
amd64_releases = [
    i for i in releases['assets']
    if 'amd64' in i['name'] and not 'dbg' in i['name']
][0]

jakeonrails

data:text/html, <style type="text/css">#e{position:absolute;top:0;right:0;bottom:0;left:0;}</style><div id="e"></div><script src="http://d1n0x3qji82z53.cloudfront.net/src-min-noconflict/ace.js" type="text/javascript" charset="utf-8"></script><script>var e=ace.edit("e");e.setTheme("ace/theme/monokai");e.getSession().setMode("ace/mode/ruby");</script>