manugarri

#!/usr/bin/env python
#Totally copied from http://www.reddit.com/r/Python/comments/27gumv/share_your_helper_scripts/

import os, random

def random_mac():
    mac = [ 0x00, 0x16, 0x3e,
        random.randint(0x00, 0x7f),
        random.randint(0x00, 0xff),
        random.randint(0x00, 0xff) ]

manugarri

import requests

def get_file(url):
        response = requests.get(url)
        filename = url.split('/')[-1]
        print url
        print('SAVING FILE {}'.format(filename))
        with open(filename, 'wb') as file:
            file.write(response.content)
            file.close()

manugarri

# If you are running more than one instances of graylog2-server you have to select one of these
# instances as master. The master will perform some periodical tasks that non-masters won't perform.
is_master = true

# The auto-generated node ID will be stored in this file and read after restarts. It is a good idea
# to use an absolute file path here if you are starting graylog2-server from init scripts or similar.
node_id_file = /etc/graylog2-server-node-id

# You MUST set a secret to secure/pepper the stored user passwords here. Use at least 64 characters.
# Generate one by using for example: pwgen -s 96

manugarri

package es.catmobil.tornofici.ui.views;

import android.content.Context;
import android.content.res.TypedArray;
import android.os.Build;
import android.text.Editable;
import android.text.TextWatcher;
import android.util.AttributeSet;
import android.util.Log;
import android.view.View;

manugarri

Text Classification

To demonstrate text classification with Scikit Learn, we'll build a simple spam filter. While the filters in production for services like Gmail will obviously be vastly more sophisticated, the model we'll have by the end of this chapter is effective and surprisingly accurate.

Spam filtering is the "hello world" of document classification, but something to be aware of is that we aren't limited to two classes. The classifier we will

manugarri

import os
import httplib2
import argparse
import tempfile
import json
import base64
import logging

from apiclient.discovery import build
from apiclient.errors import HttpError

manugarri

"""
This is a batched LSTM forward and backward pass
"""
import numpy as np
import code

class LSTM:
  
  @staticmethod
  def init(input_size, hidden_size, fancy_forget_bias_init = 3):

manugarri

import sys
import numpy as np
import scipy.ndimage as nd
from scipy.cluster.vq import vq
from scipy.misc import imsave

def crayola_9():
    """
    Palette of the first 8 crayola colors + white
    """

manugarri

require 'nokogiri'
require 'open-uri'
require 'sqlite3'



def createcolumns(categories)

  categories.each do |field|	
	db.execute ("ALTER TABLE hf ADD COLUMN #{field} {FLOAT};")

manugarri

import grequests

CRUNCHBASE_API_KEY = 'asdasdasdasdadaasdasdasdas'


'''
base url to get a company's info. The individual company link loks like this:

http://ec2-107-21-104-179.compute-1.amazonaws.com/v/1/company/facebook.js
'''