earthgecko

#!/bin/bash
# bash generate random alphanumeric string
#

# bash generate random 32 character alphanumeric string (upper and lowercase) and 
NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 32 | head -n 1)

# bash generate random 32 character alphanumeric string (lowercase only)
cat /dev/urandom | tr -dc 'a-z0-9' | fold -w 32 | head -n 1

darktable

#pragma strict
import MiniJSON;
import System.Collections.Generic;

function Start () {
    var jsonString = "{ \"array\": [1.44,2,3], " +
                        "\"object\": {\"key1\":\"value1\", \"key2\":256}, " +
                        "\"string\": \"The quick brown fox \\\"jumps\\\" over the lazy dog \", " +
                        "\"unicode\": \"\\u3041 Men\\u00fa sesi\\u00f3n\", " +
                        "\"int\": 65536, " +

vibragiel

#!/bin/bash

# directories to be included, space separated
SOURCE="/home/chewie /etc"
# directories to be excluded, space separated
IGNORE="/home/chewie/Downloads /home/chewie/Steam"
DRIVE_FOLDER="duplicity-backup"
LOGFILE=/home/chewie/duplicity.log
# set email to receive a backup report
EMAIL=""

techtonik

"""
Build recursive hash of files in directory tree in hashdeep format.


Hashdeep format description:
http://md5deep.sourceforge.net/start-hashdeep.html

hashdeep.py differences from original hashdeep:

 - if called without arguments, automatically starts to build

proudlygeek

1. Install NFS on Server

Install the required packages (Ubuntu 12.04):

apt-get install nfs-kernel-server portmap

2. Share NFS Folder

Open the exports file:

vim /etc/exports

robertpyke

Documentation Links

• Using curl with open stack
• [Getting the total count of containers/objects] (http://docs.openstack.org/api/openstack-object-storage/1.0/content/determining-storage-useage.html)
• Using curl with object-store

Authentication

mlgill

import pandas as pa

def rmerge(left,right,**kwargs):
    """Perform a merge using pandas with optional removal of overlapping
    column names not associated with the join. 
    
    Though I suspect this does not adhere to the spirit of pandas merge 
    command, I find it useful because re-executing IPython notebook cells 
    containing a merge command does not result in the replacement of existing
    columns if the name of the resulting DataFrame is the same as one of the

moonwatcher

#!/bin/sh
# Protocol for setting up an environemnt for bcl2fastq 1.8.4
# See: http://seqanswers.com/forums/showpost.php?p=141026&postcount=29
# [email protected]
# for bcl2fastq2 see http://backwardincompatible.com/post/169360794395/compiling-illumina-bcl2fastq-220-on-ubuntu-with

# On Ubuntu
sudo apt-get install \
libexpat1-dev \
libexpat1 \

gladiatr72

# similar initializer for minion-side testing
import salt.config
import salt.client
import salt.loader
import salt.utils.minion as Minion_Util
import salt.config
import pprint

pp_ = pprint.PrettyPrinter(indent=4, depth=20)
pp = pp_.pprint

cjdd3b

# -*- coding: utf-8 -*-

import re, string
from unidecode import unidecode

PUNCTUATION = re.compile('[%s]' % re.escape(string.punctuation))

class Fingerprinter(object):
    '''
    Python implementation of Google Refine fingerprinting algorithm described here: