dwillis

import json
import csv
import requests

headers = {'X-API-Key': 'DzoRodfNtDdLcIOVzLWcaApiRvDTzXR48CPPyc93'}

offset=0
for item in range(0, 1520):
    url='https://api.propublica.org/congress/v2/members/F000444/votes.json?offset={0}'.format(offset)

dwillis

@cache_control(public=True, max_age=300)
def recruiting_year(request, yslug):
    year = get_object_or_404(RecruitClass, year_slug=yslug)
    recruiting_year = 1
    years = RecruitClass.objects.all().order_by('year')
    player = Recruit.objects.filter(college_class__year_slug=yslug).filter(Q(signing_day_pick_school__school__short_name="Florida")|Q(verbal_commit_pick_school__school__short_name="Florida")).filter(Q(committed_status__status="Signed")|Q(committed_status__status="Verbal")).order_by('last_name')
    return render_to_response('year_detail.html', {
        'player': player,
        'year': year,
        'years': years,

dwillis

#!/usr/bin/env python
# -*- coding: utf-8 -*-

'''
    This script was used to convert the 2009 Q3 House Disbursement PDF into detail and summary CSV files.
        Source PDF: http://disbursements.house.gov/
        Resulting Data: http://www.sunlightfoundation.com/projects/2009/expenditures/

    It was originally authored by Luke Rosiak with improvements by James Turk for Sunlight Labs and is released into the public domain.