malev

TextExtractor

Requirements

• Works with doc, odt and pdf
• Works through an API
• Can handle multiple files at the same time
• Uses queues (maybe distributed)
• It's doable
• Works fast!

malev

var icon = '/Controls/StationLocationsMap/Images/marker-active.png';
var back = 'infowin-available';
var point = new google.maps.LatLng(30.26408, -97.74355);
kioskpoints.push(point);
var marker = new createMarker(point, "<div class='location'><strong>2nd & Congress</strong><br />151 E. 2nd St.<br />Austin<br />TX 78701</div><div class='avail'>Bikes available: <strong>8</strong><br />Docks available: <strong>5</strong></div><div></div>", icon, back, false);
markers.push(marker);
var icon = '/Controls/StationLocationsMap/Images/marker-active.png';
var back = 'infowin-available';
var point = new google.maps.LatLng(30.26634, -97.74378);
kioskpoints.push(point);

malev

import json
from gender_detector import GenderDetector
from bottle import route, run, response

detector_ar = GenderDetector('ar')
detector_uk = GenderDetector('uk')
detector_us = GenderDetector('us')

@route('/<country>/<name>')
def index(country, name):

malev

require 'open-uri'
require 'json'
require 'mechanize'
require 'pdf-reader'
require 'turbotlib'


SOURCE_URL = "http://www.cityofchicago.org/city/en/depts/doit/supp_info/list_of_contractors.html"

malev

# encoding: UTF-8

require 'open-uri'
require 'nokogiri'
require 'csv'

def gen_url(offset=0)
  if offset == 0
    "http://www.buenosaires.gob.ar/areas/registrocivil/nombres/busqueda/buscador_nombres.php?&menu_id=16082"
  else

malev

# encoding: UTF-8

require 'csv'

filename = 'nombre_nacim_por_anio_y_sexo.csv'

class Name
  attr_reader :name, :gender, :male_count, :female_count, :year

  def self.valid?(name)

malev

import csv
from genderPredictor import genderPredictor

gp = genderPredictor()
gp.trainAndTest()

def gender(name):
    output = 'unknown'

    tmp = gp.classify(name)

malev

require 'csv'
require 'net/http'
require 'json'
require 'beauvoir'
require 'sexmachine'


names_with_gender = []
CSV.foreach('input.csv') do |row|
  names_with_gender << row

malev

#!/usr/bin/env python

import os
import csv
import glob
import optparse


class CSVHandler:
    def __init__(self, filename):

malev

class Answer(object):
    """docstring for answer
    >>> answer = Answer(1, [1,3])
    >>> answer.included()
    True
    >>> answer.excluded()
    False
    >>> answer.includes()
    [1, 3]
    >>> answer = Answer(2, [1, 2, 3])