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SELECT
         Questions.CreationDate, 
         Questions.Title, 
         Tags.TagName,
         Answers.CreationDate as ResponseDate,
         datediff(minute, Questions.CreationDate, 
                          Answers.CreationDate) as ResponseTime,
         cast(DATEPART(hour, Questions.CreationDate) as int) as ResponseHour
    FROM Posts Questions
    join Posts Answers on Answers.id = Questions.AcceptedAnswerId

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import math

class Monad(object):
    __slots__=['value']

    def bind(self, f):
        if type(self) is List and type(self.value) is list:
            return self._bind(f)
        elif type(self) is Value and type(self.value) is list:
            # transform it into a List(Value)

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from bs4 import BeautifulSoup
import requests

r = requests.get('http://www.ecma-international.org/ecma-262/5.1/')
soup = BeautifulSoup(r.text)

sections = ('sec-A.1', 'sec-A.2', 'sec-A.3', 'sec-A.4', 'sec-A.5')

appendix = []
for s in sections:

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.LFB0:
	pushq	%rbp
	movq	%rsp, %rbp
	subq	$64, %rsp
	movl	%edi, -180(%rbp)
	movq	%rdx, -160(%rbp)
	movq	%rcx, -152(%rbp)
	movq	%r8, -144(%rbp)
	movq	%r9, -136(%rbp)
	testb	%al, %al

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# Sorry for using Python 2.7
from ctypes import * 
import os, sys

argv = int(sys.argv[1])
argv2 = int(sys.argv[2])

PROT_NONE = 0x0
PROT_READ = 0x1
PROT_WRITE = 0x2

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import cv2
import numpy as np
import matplotlib.pyplot as plt

im = cv2.imread('IMG_3545S.JPG')

# convert to greyscale for easy thresholding
imgray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)

# get a threshold - basically splits the image into black and white