rlieberman

for (var i = 0; i<=100; i++) {
  if (i % 3 == 0 && i % 5 == 0) {
    console.log("cracklepop");
  }
  else if (i % 5 == 0) {
    console.log("pop");
  }
  else if (i % 3 == 0) {
    console.log("crackle");
  }

rlieberman

#import the csv module which we'll need to read and write our csv's
import csv

#import the shutil module which we use to create a copy of our original csv
import shutil

#import the Nominatim module from geopy, a bit more on this in the text below
from geopy.geocoders import Nominatim
geolocator = Nominatim()

rlieberman

#import functions from my module shapeshift
from shapeshift import sawToothLeft, sawToothRight, diamondChain, hourGlass, checkerBoard

#create the different shapes using my module
diamondChain(3, 6)

sawToothLeft(3,8)
sawToothRight(3,8)	

hourGlass(10, 6)

rlieberman

#Module for shapeshift functions

import sys
import random

words_by_len = dict()						#create an empty dictionary to store words by their length


#Create a dictionary where the key is the # of characters in the word and the value is a list of words
for line in sys.stdin:					#load each line from standard in

rlieberman

#IT SEES by Rebecca Lieberman
#Final Project for Reading and Writing Electronic Text @ ITP, taught by Allison Parrish
#Spring 2015

#Code sources -- 
#Bing Search API Python Wrapper https://github.com/xthepoet/pyBingSearchAPI
#Script that fetches image descriptions from Toronto Deep Learning https://github.com/cmyr/INTERESTING_JPG

#STEPS TO RUN THIS CODE:
#1. create a virtual environment in your project directory

rlieberman

#DRONE SWEETIE: a Twitter bot that tweets descriptions of images of drones
#Code sources -- 
#Bing Search API Python Wrapper https://github.com/xthepoet/pyBingSearchAPI
#Script that fetches image descriptions from Toronto Deep Learning https://github.com/cmyr/INTERESTING_JPG

#STEPS TO RUN THIS CODE:
#1. create a virtual environment in your project directory
#2. install  textblob, requests and beautiful soup to your virtual env
#3. run dronesweetie.py with a sys.argv input from the command line
#4. make sure the following two modules are in your project directory (+download them with the following links):

rlieberman

#RWET Assignment 3: Wordnik API Poems
#Rebecca Lieberman
#ITP Spring 2015

import sys
import urllib
import json


word = sys.argv[1]

rlieberman

#SHAPESHIFT: A Poetic Form by Rebecca Lieberman
#Reading and Writing Electronic Text Midterm Project
#Made at ITP, Spring 2015


import sys
import random

words_by_len = dict()						#create an empty dictionary to store words by their length

rlieberman

import random

airstrike_list = list()						#make an empty list for the words in airstrike
all_words = list ()							#make an empty list called all_words

meat = open('meat.txt').read()				#load meat into a string
for item in meat.split():					#load the words in meat into the list 			
	all_words.append(item)

for line in open('airstrike.txt'):			#for each line in airstrike.txt

rlieberman

import random

all_words = list ()							#make an empty list called all_words

meat = open('meat.txt').read()				#load meat and air strike into strings
airstrike = open('airstrike.txt').read()

for item in meat.split():					#load meat into the list 					
	all_words.append(item)