j4mie

# -*- coding: utf-8 -*-
 
import unicodedata

""" Normalise (normalize) unicode data in Python to remove umlauts, accents etc. """

data = u'naïve café'
normal = unicodedata.normalize('NFKD', data).encode('ASCII', 'ignore')
print normal
 

didip

import unittest, os, os.path, sys, urllib
import tornado.database
import tornado.options
from tornado.options import options
from tornado.testing import AsyncHTTPTestCase

# add application root to sys.path
APP_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
sys.path.append(os.path.join(APP_ROOT, '..'))

zanshin

# Path to your oh-my-zsh configuration.
export ZSH=$HOME/.oh-my-zsh

# Set name of the theme to load.
# Look in ~/.oh-my-zsh/themes/
# Optionally, if you set this to "random", it'll load a random theme each
# time that oh-my-zsh is loaded.
#export ZSH_THEME="robbyrussell"
export ZSH_THEME="zanshin"

xim

import sys

import numpy
from nltk.cluster import KMeansClusterer, GAAClusterer, euclidean_distance
import nltk.corpus
from nltk import decorators
import nltk.stem

stemmer_func = nltk.stem.EnglishStemmer().stem
stopwords = set(nltk.corpus.stopwords.words('english'))

marcelcaraciolo

def map_feature(x1, x2):
    '''
    Maps the two input features to quadratic features.

    Returns a new feature array with more features, comprising of
    X1, X2, X1 ** 2, X2 ** 2, X1*X2, X1*X2 ** 2, etc...

    Inputs X1, X2 must be the same size
    '''
    x1.shape = (x1.size, 1)

marcelcaraciolo

from numpy import loadtxt, where, zeros, e, array, log, ones, append, linspace
from pylab import scatter, show, legend, xlabel, ylabel, contour, title
from scipy.optimize import fmin_bfgs


def sigmoid(X):
    '''Compute the sigmoid function '''
    #d = zeros(shape=(X.shape))

    den = 1.0 + e ** (-1.0 * X)

thoas

#!/usr/bin/env python

import getopt
import sys
from sqlalchemy import create_engine, MetaData, Table
from sqlalchemy.dialects.mysql.base import TINYINT
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.exc import ProgrammingError

marcelcaraciolo

auth = OAuthHandler(CLIENT_ID, CLIENT_SECRET, CALLBACK)
auth.set_access_token(ACCESS_TOKEN)
api = API(auth)


venue = api.venues(id='4bd47eeb5631c9b69672a230')
stopwords = nltk.corpus.stopwords.words('portuguese')
tokenizer = RegexpTokenizer("[\w’]+", flags=re.UNICODE)

marcelcaraciolo

#-*- coding: utf-8 -*-

import re
import nltk
from nltk.tokenize import RegexpTokenizer
from nltk import bigrams, trigrams
import math


stopwords = nltk.corpus.stopwords.words('portuguese')

anhpt379

#-*- coding: utf-8 -*-

import re
import nltk
from nltk.tokenize import RegexpTokenizer
from nltk import bigrams, trigrams
import math


stopwords = nltk.corpus.stopwords.words('portuguese')