Mike Tigas mtigas

## gist:214972
===== Places vs Place, 1 variable; Significance/Strength of Difference =====
Given the data for each county in one state and each county in another
(two samples), determine whether crime rate (one variable) is significantly
higher (in a statistics sense) in one state versus the other.

---

We're testing *one* variable, technically, but if we have a function written
up for this, we could actually forloop this and list various demographics --
population, crime rate, education, etc -- and show the difference between the

## gist:219443
# .zshrc

alias lstree="ls -R | grep \":$\" | sed -e 's/:$//' -e 's/[^-][^\/]*\//–/g' -e 's/^/ /' -e 's/-/|/'"

autoload colors zsh/terminfo
if [[ "$terminfo[colors]" -ge 8 ]]; then
colors
fi
for color in RED GREEN YELLOW BLUE MAGENTA CYAN WHITE; do
eval PR_$color='%{$terminfo[bold]$fg[${(L)color}]%}'

## mpl_test.py
# coding=utf-8
from matplotlib.figure import Figure

def make_example_pie():
    """
    Follows the simple pie chart demo[1] from matplotlib's gallery, but
    rewritten in a cleaner fashion that can be used for PNG rendering.

    [1] http://matplotlib.sourceforge.net/examples/pylab_examples/pie_demo.html
    """

## komu_story_nophoto.xml
<?xml version="1.0" encoding="utf-8"?>
<!-- non-standard XML format, obviously -->
<!-- example for this story:
     http://www.komu.com/satellite/SatelliteRender/KOMU.com/ba8a4513-c0a8-2f11-0063-9bd94c70b769/e46a687c-80ce-0971-006f-a167008c2203
-->

<!-- should newlines in this be \n delimited? -->
<body><![CDATA[LAFAYETTE COUNTY - Horrifying details continue to surface after Missouri authorities arrested five family members on an array of child sexual abuse charges.

Law enforcement continues its search of the Mohler's property, located about 30 miles east of Kansas City. Authorities began searching Tuesday evening, and they're convinced there's still a lot of evidence to find. Authorities have confirmed they are looking for bodies buried on the property. They are also looking for glass jars that contain notes written by victims with the details of the abuse.

## komu_story_withphoto.xml
<?xml version="1.0" encoding="utf-8"?>
<!-- non-standard XML format, obviously -->
<!-- example for this story:
     http://www.komu.com/satellite/SatelliteRender/KOMU.com/ba8a4513-c0a8-2f11-0063-9bd94c70b769/e56e519a-80ce-0971-00b6-57a8d5e46f84
-->

<!-- should newlines in this be \n delimited? -->
<body><![CDATA[COLUMBIA - Columbia Transit announced Wednesday it reached its goal of two million riders for the 2009 fiscal year that ended in September.

Columbia Transit announced Wednesday it reached its goal of two million riders for the 2009 fiscal year, which ended in September. Despite initial predictions of a decrease in bus ridership, there are more Columbia passengers than ever before. Transit supervisor Drew Brooks said changes in the economy may have contributed to this year's success.

## backup_dir.sh
#!/bin/bash
# Script that creates a tarball backup of a directory,
# compressed with xz (LZMA2) and encrypted with GPG.
# Resulting backup is then uploaded onto my Amazon S3
# storage space.
#
# Requires:
# * GNU Tar 1.22
# * XZ Utils 4.999.9beta
# * GNU Privacy Guard

## sniff.sh
#!/bin/bash
#
# sniff.sh
# A simple script that allows your Mac to perform packet sniffing on
# unencrypted WiFi networks.
# ----------
# Usage:
#     ./sniff.sh (keyword)
#
# `keyword` is optional and is simply appended to the resulting

## gist:363931
mtigas@nationbrowse:~$ ab -n 100 -c 10 http://mike.tig.as/
This is ApacheBench, Version 2.3 <$Revision: 655654 $>
Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Licensed to The Apache Software Foundation, http://www.apache.org/

Benchmarking mike.tig.as (be patient).....done


Server Software:        nginx/0.7.62
Server Hostname:        mike.tig.as

## zip_import.py
# See http://www.census.gov/tiger/tms/gazetteer/zips.txt

import csv
from places.models import ZipCode
from django.contrib.gis.geos import fromstr as geo_from_str

state_cache = dict()

reader = csv.reader(open('zips.txt'),delimiter=',',quotechar='"')
for row in reader:

## sunrise.html
<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
<title>Sunlight</title>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1/jquery.min.js" type="text/javascript"></script>
<script type="text/javascript">/*<![CDATA[*/
// TODO automate getting this data somehow

// http://aa.usno.navy.mil/data/docs/RS_OneDay.php
	===== Places vs Place, 1 variable; Significance/Strength of Difference =====
	Given the data for each county in one state and each county in another
	(two samples), determine whether crime rate (one variable) is significantly
	higher (in a statistics sense) in one state versus the other.

	---

	We're testing one variable, technically, but if we have a function written
	up for this, we could actually forloop this and list various demographics --
	population, crime rate, education, etc -- and show the difference between the
	# .zshrc

	alias lstree="ls -R \| grep \":$\" \| sed -e 's/:$//' -e 's/[^-][^\/]*\//–/g' -e 's/^/ /' -e 's/-/\|/'"

	autoload colors zsh/terminfo
	if [[ "$terminfo[colors]" -ge 8 ]]; then
	colors
	fi
	for color in RED GREEN YELLOW BLUE MAGENTA CYAN WHITE; do
	eval PR_$color='%{$terminfo[bold]$fg[${(L)color}]%}'
	# coding=utf-8
	from matplotlib.figure import Figure

	def make_example_pie():
	"""
	Follows the simple pie chart demo[1] from matplotlib's gallery, but
	rewritten in a cleaner fashion that can be used for PNG rendering.

	[1] http://matplotlib.sourceforge.net/examples/pylab_examples/pie_demo.html
	"""
	<?xml version="1.0" encoding="utf-8"?>
	<!-- non-standard XML format, obviously -->
	<!-- example for this story:
	http://www.komu.com/satellite/SatelliteRender/KOMU.com/ba8a4513-c0a8-2f11-0063-9bd94c70b769/e46a687c-80ce-0971-006f-a167008c2203
	-->

	<!-- should newlines in this be \n delimited? -->
	<body><![CDATA[LAFAYETTE COUNTY - Horrifying details continue to surface after Missouri authorities arrested five family members on an array of child sexual abuse charges.

	Law enforcement continues its search of the Mohler's property, located about 30 miles east of Kansas City. Authorities began searching Tuesday evening, and they're convinced there's still a lot of evidence to find. Authorities have confirmed they are looking for bodies buried on the property. They are also looking for glass jars that contain notes written by victims with the details of the abuse.
	#!/bin/bash
	# Script that creates a tarball backup of a directory,
	# compressed with xz (LZMA2) and encrypted with GPG.
	# Resulting backup is then uploaded onto my Amazon S3
	# storage space.
	#
	# Requires:
	# * GNU Tar 1.22
	# * XZ Utils 4.999.9beta
	# * GNU Privacy Guard
	#!/bin/bash
	#
	# sniff.sh
	# A simple script that allows your Mac to perform packet sniffing on
	# unencrypted WiFi networks.
	# ----------
	# Usage:
	# ./sniff.sh (keyword)
	#
	# `keyword` is optional and is simply appended to the resulting
	mtigas@nationbrowse:~$ ab -n 100 -c 10 http://mike.tig.as/
	This is ApacheBench, Version 2.3 <$Revision: 655654 $>
	Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
	Licensed to The Apache Software Foundation, http://www.apache.org/

	Benchmarking mike.tig.as (be patient).....done


	Server Software: nginx/0.7.62
	Server Hostname: mike.tig.as
	# See http://www.census.gov/tiger/tms/gazetteer/zips.txt

	import csv
	from places.models import ZipCode
	from django.contrib.gis.geos import fromstr as geo_from_str

	state_cache = dict()

	reader = csv.reader(open('zips.txt'),delimiter=',',quotechar='"')
	for row in reader:
	<!DOCTYPE html>
	<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
	<head>
	<meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
	<title>Sunlight</title>
	<script src="https://ajax.googleapis.com/ajax/libs/jquery/1/jquery.min.js" type="text/javascript"></script>
	<script type="text/javascript">/<![CDATA[/
	// TODO automate getting this data somehow

	// http://aa.usno.navy.mil/data/docs/RS_OneDay.php