script over zipcodefile

import xlrd
from simplegeo import Client, json, APIError
from multiprocessing import Pool


def f(z):
	
    z = str(z)	
    
    try:
        # z = str(10001)
        results = client.context.get_context_by_address(z)
        for b in results["features"]:
            if b["classifiers"][0]["category"] == 'Neighborhood':
                n = b["name"]
                print n
                neighborhoods.append(n)
    except APIError:
        errors.append(z)

	print 'Neighborhoods: '
	print neighborhoods

	print 'Errors: '
	print errors

if __name__ == '__main__':	
	row = 1
	neighborhoods = []
	zipcodes = []
	errors = []

	book = xlrd.open_workbook("zipcodes.xls")
	sheet = book.sheet_by_index(0)
	rows = sheet.nrows

	client = Client('SbAc87cM7EK2qCvmjymQtXU66MdXGNPr','CNmJaCEGGY3V7Tq3NEJsvNJCdJZjvgfN')

	while row <= 60000:
		current_row = sheet.row(row)[0]
		zip = sheet.cell_value(row,0)	
		zip = int(zip)
		print zip
		row += 1
		if not zip in zipcodes:
			zipcodes.append(zip)
			z = str(zip)
			z.zfill(5)
			print 'Yep'

	print zipcodes
    
	pool = Pool(processes=4)
	result = pool.apply_async(f,zipcodes)
	print result.get(timeout=1)
	print pool.map(f, zipcodes)