chewxy

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

chewxy

import bisect 
import csv
import datetime

survivalFile = open('Survival_lang_no_title.csv')
reader = csv.reader(survivalFile)
reader.next() # pop the first row
minutes = []
langDict = {}

chewxy

package main

import (
	"fmt"
	"github.com/chewxy/gogogadget"
	"unsafe"
)

func main() {
	var x int64 = 1234

chewxy

package pointerTagging

import (
	"unsafe"
	"math/rand"
	"time"
)

type vector struct {
	x int

chewxy

package pointerTagging

import (
	"testing"
)

func BenchmarkInitializingInterface(b *testing.B) {
	for i := 0; i < b.N; i++ {
		initializingConventional()
	}

chewxy

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

chewxy

# 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

chewxy

.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

chewxy

from bs4 import BeautifulSoup
import requests


r = requests.get('http://golang.org/ref/spec')
soup = BeautifulSoup(r.text)
bnf = soup.find_all('pre', class_='ebnf')
bnftxt = [x.get_text() for x in bnf]

bnftxt = ''.join(bnftxt)

chewxy

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: