Matt Bornski mattbornski

Goal: To take this: https://graph.facebook.com/105464892820215 And derive this: America/Los Angeles From which we can then derive UTC-0800 or UTC-0700, as appropriate under the daylight madness scheme in effect on the date of interest.

It seems oddly hard to figure out what timezone a given point in space is located in. Looking around, there are only a few APIs which provide this information (http://www.earthtools.org/webservices.htm#timezone and http://www.worldweatheronline.com/time-zone-api.aspx), and only a few datasets which seem to contain it; most of them are in serious GIS formats, and expect you to query them in some manual fashion using a proprietary GIS tool.

I'm not really interested in that; I want a piece of code I can just ask "what timezone is this in" and get an answer, without installing some huge piece of software I don't have a license to or worrying about rate limits from somebody's API. So I'm going to take a shapefile I found here (http://efele.net/maps/tz/world/) and see if we can

	#!/bin/bash

	_TCP_PORT=`jot -r 1 10000 65000`
	while :
	do
	# Check to see if this port is allocated
	lsof -i 4TCP:$_TCP_PORT \|\| break
	_TCP_PORT=`jot -r 1 10000 65000`
	done
	node-inspector --web-port=$_TCP_PORT &

	#/bin/bash

	# Dependencies
	#sudo apt-get install gcc make python-dev libffi-dev pkg-config libz-dev libbz2-dev libncurses-dev libexpat1-dev libssl-dev libgc-dev python-sphinx python-greenlet

	# To build from source (WARNING will take fucking forever)
	#wget https://bitbucket.org/pypy/pypy/get/release-1.8.tar.bz2
	#tar jxvf release-1.8.tar.bz2
	#cd pypy-pypy-2346207d9946/pypy/translator/goal/
	#python translate.py -Ojit

	#!/usr/bin/env python

	# I was frustrated that no matter what buffer setting I passed to communicate,
	# I could not get stdout from my subprocess until the process had completed.
	# I googled around and came up with this, which illustrates the problem and a
	# solution.

	# http://stackoverflow.com/questions/2804543/read-subprocess-stdout-line-by-line
	# http://bugs.python.org/issue3907
	# http://docs.python.org/library/io.html

	-- This is a Hive program. Hive is an SQL-like language that compiles
	-- into Hadoop Map/Reduce jobs. It's very popular among analysts at
	-- Facebook, because it allows them to query enormous Hadoop data
	-- stores using a language much like SQL.

	-- Our logs are stored on the Hadoop Distributed File System, in the
	-- directory /logs/randomhacks.net/access. They're ordinary Apache
	-- logs in *.gz format.
	--
	-- We want to pretend that these gzipped log files are a database table,

	#!/bin/bash

	echo "Searching for available ISO..."
	find ~ -name "*.iso" -type f -size +1048576 \| xargs ls -l
	read -e -p "Which ISO should be used? " ISO_FILE
	if [ "${ISO_FILE}" == "" ] ; then
	echo "No ISO selected!"
	exit 1
	fi
	echo "Using ${ISO_FILE}"

	# Create feature branch from development branch
	# Let's start from the most up-to-date version
	git checkout <develop-branch>
	git pull
	# And create a feature branch to do our work out of the way
	git checkout -b <feature-branch> <develop-branch>
	# And use it
	git checkout <feature-branch>

	# Do work here