jackschultz

from bs4 import BeautifulSoup
import unicodedata
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
from scipy.stats import norm

class Prize:
  def __init__(self, name, age, year, prize_type, description):
    self.name = unicodedata.normalize('NFKD', name).encode('ascii','ignore') #umlaut issues
    self.age = age

jackschultz

import sys
import json
from collections import defaultdict

def parse_list_based_json(data):
  out = {}
  for index, value in enumerate(data[0]):
    out[value] =[row[index] for row in data[1:]]
  return out

jackschultz

(ns classify.core
  (:use [boilerpipe-clj.core]
         [opennlp.nlp]
         [opennlp.treebank]
         [clojure.pprint :only [pprint]]
         [opennlp.tools.filters]
         [clojure.set]
         [stemmer.snowball])
  (:gen-class))

jackschultz

(ns gb-or-syria.core
  (:use [boilerpipe-clj.core]
         [opennlp.nlp]
         [opennlp.treebank]
         [clojure.pprint :only [pprint]]
         [opennlp.tools.filters]
         [clojure.set]
         [clojure.string :only [split-lines]]
         [stemmer.snowball])
  (:gen-class))

jackschultz

import nltk
import string
import pprint
import requests
import operator
import re
import logging
from collections import defaultdict

FREEBASE_API_KEY = ''

jackschultz

import nltk
import string
import requests
import operator
import re
import logging
from collections import defaultdict

pattern = '[A-Z][^A-Z]*'

jackschultz

import requests
from bs4 import BeautifulSoup
import os, json

base_url = "http://api.genius.com"
headers = {'Authorization': 'Bearer GENIUS_API_BEARER_STRING'}

artist_names = ["Fleet Foxes"]

def artist_id_from_song_api_path(song_api_path, artist_name):

jackschultz

import nltk
import requests

FREEBASE_API_KEY = ''

class FindNames(object):

  def __init__(self, text, freebase_api_key):
    self.text = text
    self.key = freebase_api_key

jackschultz

import nltk
from nltk.stem.wordnet import WordNetLemmatizer
import string

class SentenceRank(object):
  def __init__(self, body, title):

    self.body = body
    self.sentence_list = nltk.tokenize.sent_tokenize(self.body)[:]
    self.title = title

jackschultz

import csv
import numpy as np

points_label = "Points"
lineup_label = "Lineup"
players = set()
num_lineups = 0

with open('outcome.csv', 'rb') as csvfile:
  rows = csv.reader(csvfile)