carlkibler

import subprocess

def uptime():
    raw = subprocess.check_output('uptime').replace(',','')
    days = int(raw.split()[2])
    if 'min' in raw:
    	hours = 0
    	minutes = int(raw[4])
    else:
    	hours, minutes = map(int,raw.split()[4].split(':'))

P4

Windows Registry Editor Version 5.00
; Default color scheme
; for Windows command prompt.

; Values stored as 00-BB-GG-RR
[HKEY_CURRENT_USER\Console]
; BLACK DGRAY
"ColorTable00"=dword:00000000
"ColorTable08"=dword:00808080
; BLUE LBLUE

jhass

#!/bin/bash

# Parameters
socket="/run/foo.sock"
dump="/tmp/capture.pcap"

# Extract repetition
port=9876
source_socket="$(dirname "${socket}")/$(basename "${socket}").orig"

plentz

# to generate your dhparam.pem file, run in the terminal
openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048

marcusphi

---
# This has been tested with ansible 1.3 with these commands:
#   ansible-playbook -i hosts ansible_conditionals_examples.yaml --extra-vars="hosts=myhosts isFirstRun=false"
#   ansible-playbook -i hosts ansible_conditionals_examples.yaml --extra-vars="hosts=myhosts isFirstRun=true"
#   ansible-playbook -i hosts ansible_conditionals_examples.yaml --extra-vars="hosts=myhosts"
# NB: The type of the variable is crucial!

- name: Ansible Conditionals Examples
  hosts: $hosts
  vars_files:

rxaviers

People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue:

d11wtq

docker run -rm -t -i -v $(dirname $SSH_AUTH_SOCK) -e SSH_AUTH_SOCK=$SSH_AUTH_SOCK ubuntu /bin/bash

mangecoeur

Easy parallel python with concurrent.futures

As of version 3.3, python includes the very promising concurrent.futures module, with elegant context managers for running tasks concurrently. Thanks to the simple and consistent interface you can use both threads and processes with minimal effort.

For most CPU bound tasks - anything that is heavy number crunching - you want your program to use all the CPUs in your PC. The simplest way to get a CPU bound task to run in parallel is to use the ProcessPoolExecutor, which will create enough sub-processes to keep all your CPUs busy.

We use the context manager thusly:

with concurrent.futures.ProcessPoolExecutor() as executor:

abhi-bit

#!/usr/bin/python

import pwd
import os
import re
import glob

PROC_TCP = "/proc/net/tcp"
STATE = {
        '01':'ESTABLISHED',

chanj

INTRO
I get asked regularly for good resources on AWS security. This gist collects some of these resources (docs, blogs, talks, open source tools, etc.). Feel free to suggest and contribute. 

Short Link: http://tiny.cc/awssecurity

Official AWS Security Resources
* Security Blog - http://blogs.aws.amazon.com/security/
* Security Advisories - http://aws.amazon.com/security/security-bulletins/
* Security Whitepaper (AWS Security Processes/Practices) - http://media.amazonwebservices.com/pdf/AWS_Security_Whitepaper.pdf
* Security Best Practices Whitepaper - http://media.amazonwebservices.com/AWS_Security_Best_Practices.pdf