remoharsono

$.ajax({
    type: 'POST', // Use POST with X-HTTP-Method-Override or a straight PUT if appropriate.
    dataType: 'json', // Set datatype - affects Accept header
    url: "http://example.com/people/1", // A valid URL
    headers: {"X-HTTP-Method-Override": "PUT"}, // X-HTTP-Method-Override set to PUT.
    data: '{"name": "Dave"}' // Some data e.g. Valid JSON as a string
});

/* Some clients do not support PUT or it’s difficult to send in a PUT request. For these cases, you could POST the request with a request header of X-HTTP-Method-Override set to PUT. What this tells the server is that the intended request is a PUT. Obviously this relies on the API you are accessing making use of the X-HTTP-Method-Override Header.*/

remoharsono

ogr2ogr -f MySQL MySQL:DATABASENAME,host=localhost,user=USER,password=PASSWORD SHAPEFILE.shp -nln TABLENAME -update -overwrite -lco engine=MYISAM

remoharsono

<table class="table table-striped table-bordered" id="form_fields_data">
<thead>
	<tr>
		<th>Key</th>
		<th>Value</th>
		<th>&nbsp;</th>
	</tr>
</thead>
<tbody>
	<tr>

remoharsono

This face-boxer.py script is more-or-less the same code that you'll find in the OpenCV tutorial: Face Detection using Haar Cascades. For another variation, with more explanation, check out RealPython's tutorial.

Usage

The face-boxer.py script is designed to be run from the command-line. It has two required arugments:

1. The path to a XML file containing a Haar-cascade of visual features. In this example, it will be the features that make up a face.
2. The path to an image file that you want to perform face-detection on. You can pass in more than one image file as space-separated arguments.

remoharsono

<?php
// --------------------------------------------------------------------------------
// PhpConcept Library - Zip Module 1.3
// --------------------------------------------------------------------------------
// License GNU/LGPL - Vincent Blavet - January 2003
// http://www.phpconcept.net
// --------------------------------------------------------------------------------
//
// Presentation :
//   PclZip is a PHP library that manage ZIP archives.

remoharsono

import win32serviceutil
import win32service
import win32event
import servicemanager
import socket
import time
import logging

logging.basicConfig(
    filename = 'c:\\Temp\\hello-service.log',

remoharsono

    //var_dump();
    require_once(sfConfig::get('sf_root_dir').'/vendor/phpexcel/PHPExcel.php');
    //$php\
    $values = $this->getValues();

    $id = uniqid();
    $file = sfConfig::get('sf_root_dir').'/data/upload/'.$id.'.xlsx';
    move_uploaded_file($values['file']->getTempName(), $file);
    $objPHPExcel = PHPExcel_IOFactory::load($file);
    $lastRowNumber = (int)$objPHPExcel->getActiveSheet()->getHighestRow();

remoharsono

Run the following steps inside a clean directory

Not sure if you are in the same boat as I, but I could not find any good resource out there that pulled this all together. So here is a step-by-step tutorial for creating a Node.js app from scratch, adding in Grunt and then Node-Sass. Yeah, try and find good docs on Node-Sass alone :(

Hope this is of help!

Create your Node.js project

• npm init - create a clean node project
• NOTE: be sure to add "private": true, to the package.json so that your project is not globally distributed as a npm app

remoharsono

// this is the background code...

// listen for our browerAction to be clicked
chrome.browserAction.onClicked.addListener(function (tab) {
	// for the current tab, inject the "inject.js" file & execute it
	chrome.tabs.executeScript(tab.ib, {
		file: 'inject.js'
	});
});

remoharsono

import json
import requests
import logging as log
log.basicConfig(level=log.DEBUG)


class FollowerExtractor():
    """
    Extracts followers for a given profile
    """