askmeegs

import json, urllib, os, re
from collections import Counter,defaultdict
import matplotlib.pyplot as plt
import numpy
from pandas import *
import json
import networkx as nx
import text_utils as tu

filename = raw_input("Enter a file name, json: ")

askmeegs

{
 "metadata": {
  "name": "process_tweets"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

askmeegs

{
 "metadata": {
  "name": "Word-Bigram Freq and Co-Occurrence"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

askmeegs

function getPosts(){
		query = "moonrise kingdom";
		var tumblr = require('tumblr.js');
		var client = tumblr.createClient({ consumer_key: '5AePbGS74iGUh2v1vIaLfxOeDAyS2X8sRPpnOPczwtFzGXEvz7' });
		initialize data structure
		client.tagged(query, function (err, data) { 
			//put 1000 image urls into a list
			});
		setInterval(function(){changeImage()},3000); //once posts are gotten, start changing background
	}

askmeegs

//Piece of Flashcards.java
//Final Project, CS 230 Fall '12
//Megan O'Keefe
//Last Modified: December 20th, 2012


/*Takes what has been entered in the userEntry JTextField and does a .equalsIgnoreCase()
with what is stored in the back of the current card. If it returns true, modifies the 
correctLabel to "Correct!", otherwise modifies the correctLabel to "Incorrect." 
Retabulates accuracy and modifies the percentAccuracy label accordingly.

askmeegs

/*nytbookfolio.js
by Megan O'Keefe
project: BOOKFOLIO
began 3/27/13, completed 4/8/13

Summary: nytscript handles the scripting for the main page of Bookfolio. This file
accomplishes three main tasks on loading the index.html page:
	1) Grabs a local json file from the NYT Bestseller API and extracts title, author 
	and ISBN data from the results[] array (20 items) and places them in separate 
	title, author and isbn arrays.

askmeegs

class SearchHandler(webapp2.RequestHandler):
		
	def post(self): #not the same post as jquery $.post
		searchterm = self.request.get("searchterm")
		modifiedToken = cleanToken(searchterm)
		user = users.get_current_user()
		s=""
		results=""
		
		if user: 

askmeegs

#Burstiness.py
#by Megan O'Keefe

import json, os, bisect
from sets import Set 
from datetime import datetime, timedelta
from collections import Counter,defaultdict
from numpy import *
from pandas import *
from pandas.tseries.offsets import Hour, Minute

askmeegs

#storymaker.py
#by megan o'keefe
#created: July 31st, 2015
#last modified: 7/31/2015
#has WordsApi definitions, also working on: wikipedia articles.

import json
import unirest
import wikipedia

askmeegs

//KMeans_Clustering.java
//Megan O'Keefe
//Completed: 10/25/15
//CS313, Wellesley College (Assignment #5)
//USES EXISTING CLUSTERING CLASSES, NOT INCLUDED

/* 
Overview of KMeans algorithm:
	- randomly assign each Gene to a cluster (Math.random... for range = # desired clusters)
	- Then until you have no shuffling changes in the iteration...