roccomuso

const ffmpeg = require('fluent-ffmpeg')
const parseUrl = require('url').parse
// Polyfill, modifying the global Object
require('es6-object-assign').polyfill()
global.Promise = require('es6-promise').Promise
const aws4 = require('aws4')
const axios = require('axios')
const CancelToken = axios.CancelToken
const fs = require('fs')
const PipeViewer = require('pv')

tomysmile

type below:

brew update
brew install redis

To have launchd start redis now and restart at login:

brew services start redis

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

parhamr

Magento Enterprise 1.12 cluster

Scaling Magento presentation with 60 slides and notes, which was then reviewed by Alan Storm.

Table of Contents

• Summary
• Traffic Statistics
  • August 2013
• November 2013

iamkvein

var install_hook_to = function(obj) {
    
    if (obj.hook || obj.unhook) {
        throw new Error('Object already has properties hook and/or unhook');
    }
    
    obj.hook = function(_meth_name, _fn, _is_async) {
        var self = this,
            meth_ref;