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# Where to get the data:
# Crimes_-_2001_to_present.csv
# https://catalog.data.gov/dataset/crimes-2001-to-present-398a4
# THIS IS A BIG FILE - 1.5 gig
# prints a range within the file
#USAGE: Line 0 is the header row
# python PrintRange.py Crimes_-_2001_to_present.csv 0 15
import sys
filename = sys.argv[1]
starT = int(sys.argv[2])

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#!/usr/bin/python
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
# gives a base to x and y
x=[]
y=[]
with open("Crimes_file.txt") as f:
    data = f.read()
    data = zip(*[iter(data.split(" "))]*2)

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#!/usr/bin/python
# GoogleMapDownloader.py 
# Created by Hayden Eskriett [http://eskriett.com]
#
# A script which when given a longitude, latitude and zoom level downloads a
# high resolution google map
# Find the associated blog post at: http://blog.eskriett.com/2013/07/19/downloading-google-maps/

import urllib
import Image

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import os
import timeit
def txsearch():
    # Ask to enter string to search
    Sstring = raw_input("Search Phrase")
    for fname in os.listdir('./'):
       # Apply file type filter   
       if fname.endswith(".txt"):
            # Open file for reading
            fo = open(fname)

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import sys
import tweepy
import csv
import Key

#pass security information to variables
consumer_key = Key.twiter()[0]
consumer_secret = Key.twiter()[1]
access_key = Key.twiter()[2]
access_secret = Key.twiter()[3]

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# post image and tweet to Twitter
# USAGE: import Tpost
# Tpost.tpost(ImgPath,STR)
import sys
import twython
from twython import Twython
import Key
def tpost(ImgPath,STR):
    CONSUMER_KEY = Key.twiter()[0]
    CONSUMER_SECRET = Key.twiter()[1]

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def twiter():
    CONSUMER_KEY = 'aaaaaaaaaaaaa'
    CONSUMER_SECRET = 'bbbbbbbbbbbbbbbbbbbbb'
    ACCESS_KEY = 'ccccccccccccccccccccccccccccc'
    ACCESS_SECRET = 'dddddddddddddddddddddddddddddddd'
    twitter = (CONSUMER_KEY, CONSUMER_SECRET, ACCESS_KEY, ACCESS_SECRET)
    return twitter

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# -*- coding: utf-8 -*-
"""
Collage maker - tool to create picture collages
Author: Delimitry
"""
import time
import argparse
import os
import random
from PIL import Image

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import sqlite3
import os.path
from os import listdir, getcwd
from IPython.core.display import Image 

def getImage_list(rel_path):
    abs_path = os.path.join(os.getcwd(),rel_path)
    print 'abs_path =', abs_path
    dir_files = os.listdir(abs_path)
    return dir_files

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def dbread():
    import sqlite3
    conn = sqlite3.connect('XPfts4.db')
    c = conn.cursor()
    count = 0
    req = 100
    view = raw_input("Search : ")
    for row in c.execute('SELECT rowid, code FROM pages WHERE pages MATCH ?', (view,)):    
        count=count+1
        print (row)[0],"-",(row)[1],"\n"