msabramo

#!/usr/bin/env python

"""
Install a package from your local pip download cache without having to touch
the 'net at all.

You'll need to be using a pip download cache; that is, you'll need the
following in your ~/.pip/pip.cfg:

    [install]

msabramo

on alfred_script(q)
	set theYear to year of (current date) as string
	
	set theMonth to (month of (current date) as number)
	
	if theMonth < 10 then
		set theMonth to "0" & theMonth
	else
		set theMonth to "" & theMonth
	end if

msabramo

import os

FIELDS = os.environ.get('ANSIBLE_HUMAN_LOG_FIELDS').split(',')
if not FIELDS:
    FIELDS = ['cmd', 'command', 'start', 'end', 'delta', 'msg', 'stdout', 'stderr']


def human_log(res):
    if type(res) == type(dict()):
        for field in FIELDS:

msabramo

Instructions for "Becoming Friends with Cassandra"

Go here:

https://gitter.im/DataStaxCommunity/Cassandra_Spark

Where do I start?

To start communicating with Cassandra like a champ, Cassandra's Query Language (CQL) is your best bet. CQL is an SQL-like language, which makes it warm and fuzzy for those of us used to SQL, but don't let that fool you...

We still have to think about how we "converse" with Cassandra differently. When we model our data, we need to think about how we will access it before we model it. It's important to emphasize this point, because you can get into some very ugly territory if you model Cassandra like a relational database. Data Modeling with Cassandra is purely query-driven.

msabramo

#!/bin/bash

# change the values below to match your system.

# target the BUILD_DIR to output from an nw.io build process. nwjs-shell-builder recommended!
# https://github.com/Gisto/nwjs-shell-builder
# BASE_DIR is the target directory for this script, where files will be gathered and packaged to 

BUILD_DIR="/var/www/deploy/TMP/osx-ia32/latest-git"
BASE_DIR="/var/www/deploy/osx"