bogsio

from tastypie.resources import ModelResource
from .models import TodoList, TodoItem
from tastypie.authentication import SessionAuthentication


class TodoListResource(ModelResource):
    class Meta:
        authentication = SessionAuthentication()
        queryset = TodoList.objects.all()
        resource_name = 'list'

bogsio

from django.db import models
from django.contrib.auth.models import User


class TodoList(models.Model):
    name = models.CharField('List Title', max_length=200)
    author = models.ForeignKey(User, related_name='todo_lists')

    def __unicode__(self):
        return '"' + self.name + '" by ' + unicode(self.author)

bogsio

from django.contrib import admin
from models import TodoItem, TodoList


class TodoItemAdmin(admin.ModelAdmin):
    pass


class TodoListAdmin(admin.ModelAdmin):
    pass

bogsio

import string
import collections

from nltk import word_tokenize
from nltk.stem import PorterStemmer
from nltk.corpus import stopwords
from sklearn.cluster import KMeans
from sklearn.feature_extraction.text import TfidfVectorizer
from pprint import pprint

bogsio

print Counter([generator_choice(gen()) for _ in range(100000)])
# Counter({3: 33680, 1: 33280, 2: 33040})

bogsio

def generator_choice(g):
    choice = None
    for idx, item in enumerate(g):
        if random.random() < 1.0/(idx + 1):
            choice = item

    return choice

bogsio

def gen():
    yield 1
    yield 2
    yield 3
    
print random.choice(gen())

bogsio

# Access Sentiwordnet Corpus
from nltk.corpus import wordnet as wn
from wnext import sentiwordnet
able = wn.synset('able.a.01')
print able.sentiment()
# (0.125, 0.0)
 
# Access eXtended WordNet Domains (XWND)
from wnext import wndomains
book = wn.synset('book.n.01')

bogsio

# Access Sentiwordnet Corpus
from nltk.corpus import wordnet as wn
from wnext import sentiwordnet
able = wn.synset('able.a.01')
print able.sentiment()
# (0.125, 0.0)

# Access eXtended WordNet Domains (XWND) 
from wnext import wndomains
book = wn.synset('book.n.01')

bogsio

# Access Sentiwordnet Corpus
>>> from nltk.corpus import wordnet as wn
>>> from wnext import sentiwordnet
>>> able = wn.synset('able.a.01')
>>> print able.sentiment()
(0.125, 0.0)

# Access eXtended WordNet Domains (XWND) 
>>> from wnext import wndomains
>>> book = wn.synset('book.n.01')