apendleton

### urls.py ###

from django.conf.urls.defaults import *
from views import *

urlpatterns = patterns('',
    url(r'^view1/$', view1, name='view1'),
    url(r'^view2/$', view2, name='view2'),
)

apendleton

import urllib2, json, random, sys
from flask import Flask, request, make_response
app = Flask(__name__)

TIMELINE_DATA = None

@app.route('/public_timeline.json')
def public_timeline():
    out = json.dumps(sorted(TIMELINE_DATA, key=lambda x: random.random()))
    if 'callback' in request.args:

apendleton

"""
This script ingests a CSV of last names and builds JSON output on the 
percentage of last names that begin with each letter of the alphabet.

I initially ran it on a CSV-ified version of the US Census's list of all last
names with more than 100 occurrences, and used the frequency field within that 
file to weigh the output, but absent that field, it assigns equal weight to 
each name, allowing us to also process our TCamp 2012 attendence list.

Using the script on the Census data available in:

apendleton

<script>
    (function() {
        var insertScript = function(url) {
            var elem = document.createElement('script');
            elem.src = (document.location.protocol == "https:" ? "https://cdns" : "http://cdn") + ".gigya.com/js/" + url;
            elem.async = true;
            elem.type = "text/javascript";
            $('script').eq(0).before(elem);
        }
        window.onGigyaServiceReady = function(type) {

apendleton

Curried Pear Pie

Ingredients

Note: these are amounts for a nine-inch round pie. For the 13x9 rectangular pie, I used a double batch of filling and a 1.5x batch of crust.

• One batch pie crust for a double crust pie (I'm a fan of this one)
• 1/2 cup golden raisins
• 2Tbsp garlic-ginger paste (recipe follows)
• 1Tbsp ground coriander

apendleton

import csv, re

SEARCH_TERMS = [re.compile(term, re.I) for term in [r"(?<!white )house", "HFAC", "Congressman", "Congresswoman", "Congressional", "Senate", "Senator"]]
SEARCH_COLS = ["contact_title", "contact_name", "contact_office", "contact_agency"]

csv_infile = open('contacts.csv', 'rb')
csv_in = csv.DictReader(csv_infile)

csv_outfile = open('contacts_filtered.csv', 'wb')
csv_out = csv.DictWriter(csv_outfile, csv_in.fieldnames)

apendleton

Baked steel-cut oatmeal

This is kind of inspired by this recipe. Amounts are what I did, but if I do it again I might slightly decrease the nutmeg and maybe slightly increase the sugar.

Ingredients

• 1.5 cups steel cut oatmeal
• 2.5 cups boiling water
• 2tsp baking powder

apendleton

Cherry-almond Fudge

Adapted from Cook's Illustrated 15-minute walnut fudge.

Ingredients

• 16oz bittersweet chocolate (I use Ghirardelli 60% bittersweet bars)
• 2oz unsweetened chocolate (again, I use Ghirardelli, 100% bars)
• 1 can sweetened condensed milk (whole)

apendleton

use std::num::pow;

pub struct Point { x: int, y: int }
struct Line  { p1: Point, p2: Point }

impl Line {
  pub fn length(&self) -> f64 {
    let xdiff = self.p1.x - self.p2.x;
    let ydiff = self.p1.y - self.p2.y;
    ((pow(xdiff, 2) + pow(ydiff, 2)) as f64).sqrt()

apendleton

var ocemail = function(url, domain) {
    var capitalize = function(s) { return s.charAt(0).toUpperCase() + s.slice(1).toLowerCase(); }

    // url parser from http://jsperf.com/url-parsing
    var urlParseRE = /^(((([^:\/#\?]+:)?(?:(\/\/)((?:(([^:@\/#\?]+)(?:\:([^:@\/#\?]+))?)@)?(([^:\/#\?\]\[]+|\[[^\/\]@#?]+\])(?:\:([0-9]+))?))?)?)?((\/?(?:[^\/\?#]+\/+)*)([^\?#]*)))?(\?[^#]+)?)(#.*)?/;
    var hostname = urlParseRE.exec(url)[11];

    if (hostname) {
        var domainMatch = /^(?:www[.])?([-a-z0-9]+)[.](house|senate)[.]gov$/;
        var match = domainMatch.exec(hostname.toLowerCase());