CloudCray

"""
Author: Cloud Cray
Date:   2014-01-04
 
This is an example script to read Zip Code data from a US shapefile,
  then colorize all zip codes, then save the result to a png file.
"""
 
import shapefile
import matplotlib.patches as patches

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from Tkinter import *  # Python 2
# from tkinter import *  # Python 3

class GuiRec(Frame):  # We're going to "inherit" the Frame class. 
    def __init__(self, master, rec):  # What happens when you initialize the GuiRec
        Frame.__init__(self, master)  # Like any frame, you gotta set the parent.
        
        self.record = rec
        
        # You could also make these "public properties" or whatever. Your call.

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# Keep in mind, google has some strict policy on usage (2,500 per day from any IP address)

# Python 3

# Also see the API docs:
#  https://developers.google.com/maps/documentation/geocoding/

import urllib.request
import urllib.parse

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from PIL import Image, ImageDraw, ImageFont
from random import randint as rand

# Get the font we want from our OS
# create an image big enough to hold the text
# write on the image
img_font = ImageFont.truetype("courbd.ttf", 280) # Courier New, Bold; Windows 7
im = Image.new("RGB", (2560, 640), "white")
img_draw = ImageDraw.Draw(im)
img_draw.text((0, 0), "Hello World", font=img_font, fill="black")

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# Python 3.4

import urllib.request as r
import urllib.parse as p
import gzip
import io
import bs4
import os
import csv

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import os, sys, pythoncom
from win32com.shell import shell

def shortcut_resolves_to(shortcut_path):
    shortcut = pythoncom.CoCreateInstance (
      shell.CLSID_ShellLink,
      None,
      pythoncom.CLSCTX_INPROC_SERVER,
      shell.IID_IShellLink
    )

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'' First, you have to open the Visual Basic for Applications editor
'' Tools > References > Check "Solver" (near the top)

'' Setup here: http://imgur.com/UZPmZQQ

Sub MyMacro()

'' x is going to store your target value, which currently sits in cell C5
    Dim x As Integer
    x = Range("$C$5").Value

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# Python 3.4

import urllib
import bs4

def get_stock_price(name):
    url = "https://www.google.com/finance"
    req = urllib.request.Request(url)
    url_full = url + "?" + urllib.parse.urlencode({"q": name})
    req = urllib.request.Request(url_full)

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# Author: Cloud Cray
# 2014-12-30
# Run this script in the same folder as the notebook(s) you wish to convert
# This will create both an HTML and a PDF file
#
# You'll need wkhtmltopdf (this will keep syntax highlighting, etc)
#   http://wkhtmltopdf.org/downloads.html

import subprocess
import os

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import urllib
import bs4
import csv
 
p = urllib.parse
request = urllib.request
 
url = 'http://www.ndca.org/directories/'
urls = []
for i in range(18):  # There are 436 adjudicators right now; the loads in sets of 25. 18 pages needed