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import base64
import requests

INFO = 'api/json'
JOB_INFO = 'job/%s/api/json?depth=0'
JOB_NAME = 'job/%s/api/json?tree=name'
JOB_CONFIG = 'job/%s/config.xml'
CREATE_JOB = 'createItem?name=%s'
ENABLE_JOB = 'job/%s/enable'
DISABLE_JOB = 'job/%s/disable'

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Amazon Rekognition - Python Code Samples

1. Labels Detection
2. Faces Detection
3. Faces Comparison
4. Faces Indexing
5. Faces Search

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# As the Kivy docs ( http://kivy.org/docs/guide/other-frameworks.html ) state:
# install_twisted_rector must be called before importing and using the reactor.
from kivy.support import install_twisted_reactor
install_twisted_reactor()

from autobahn.twisted.websocket import WebSocketClientProtocol, \
                                       WebSocketClientFactory


class MyKivyClientProtocol(WebSocketClientProtocol):

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<?php
// Call this with a cron script on a timed interval to scrape it

$user_agent = $_SERVER['HTTP_USER_AGENT']; // its possible you may wish to use an alternative user agent here 

// First call gets hidden form field authenticity_token
// and session cookie
$ch = curl_init();
$sTarget = "https://twitter.com/";
curl_setopt($ch, CURLOPT_URL, $sTarget);

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

# Example of `object pool' design pattern
# Copyright (C) 2011 Radek Pazdera

# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.

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# Create your superuser
$ mongo
> use admin
> db.createUser({user:"someadmin",pwd:"secret", roles:[{role:"root",db:"admin"}]})
> exit

# Alias for convenience (optional and at your own risk)
$ echo 'alias mongo="mongo --port 27017 -u someadmin -p secret --authenticationDatabase admin"' >> ~/.bash_profile
$ source ~/.bash_profile

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<?php

class custom_feed {
  
	public $feed = 'custom-xml';

	public function __construct() {
	
		add_action( 'init', array( $this, 'init' ) );
		

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import kivy
import os
import subprocess
kivy.require('1.0.7')

from kivy.animation import Animation
from kivy.app import App
from kivy.uix.button import Button
from kivy.uix.scatter import ScatterPlane
from kivy.uix.slider import Slider

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Task queuing in Django with ZeroMQ

Introduction

Here at Glitterbug Tech, Django is the lifeline of everything we make and we are big fans! Django doesn't get in the way and lets us write the language we love, python, while providing an amazing set of tools that makes creating web applications fast and fun. But, as you know, code is executed synchronously before you can send back a response. Which means when you are generating that report from your database which has a million rows, your client has to wait for a response while your application huffs and puffs trying to get everything ready (Unless he times out, in which case you receive angry calls while you try to explain what "502 Bad Gateway" means). Sometimes you just want to make your site more responsive by pushing time consuming tasks in the background ("Your comment has been posted!" while a zmq process works in the backend adding it to your db/caching layer/pushing it to followers/creating rainbows). Wha

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import time
import struct
import socket
import hashlib
import sys
from select import select
import re
import logging
from threading import Thread
import signal