OrenBochman

#!/bin/bash

## Assuming Linux Mint 18. Should also mostly work with Ubuntu 16.04

## Installing .deb packages could be done in a single go if I added the
## necessary repositories beforehand but this way the script is more
## modular and I can comment out any sections if I want to.

## TODO: install Prey
## TODO: Rewrite this with Salt/Ansible?

OrenBochman

1. Delete all containers

    $ docker ps -q -a | xargs docker rm
   

-q prints only the container IDs -a prints all containers

Notice that it uses xargs to issue a remove container command for each container ID

2. Delete all untagged images

OrenBochman

import android.util.Log;

import java.text.MessageFormat;

/*
 * Copyright 2015 Dor Sakal
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at

OrenBochman

# -*- coding: utf-8 -*-

# Copyright Christopher S. Penn, 2016 | cspenn.com | @cspenn
# This software is licensed under the GNU General Public License, version 3.0.
# Absolutely no warranty or support is provided.
# Run at your own risk.

import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule

OrenBochman

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

---

OrenBochman

1. General Background and Overview

• Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
• Models and Issues in Data Stream Systems
• Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
• Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
• [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

OrenBochman

#
# PREDICTING LONG TERM CUSTOMER VALUE WITH BTYD PACKAGE
# Pareto/NBD (negative binomial distribution) modeling of 
# repeat-buying behavior in a noncontractual setting
#
# Matthew Baggott, [email protected]
#
# Accompanying slides at:
# http://www.slideshare.net/mattbagg/baggott-predict-customerinrpart1#
#

OrenBochman

#
# PREDICTING LONG TERM CUSTOMER VALUE WITH BTYD PACKAGE
# Pareto/NBD (negative binomial distribution) modeling of 
# repeat-buying behavior in a noncontractual setting
#
# Matthew Baggott, [email protected]
#
# Accompanying slides at:
# http://www.slideshare.net/mattbagg/baggott-predict-customerinrpart1#
#

OrenBochman

/**
 * A script to automate requesting data from Google Analytics.
 *
 * @author [email protected] (Nick Mihailovski)
 */


/**
 * The name of the configration sheet.
 * And various parameters.

OrenBochman

'''
 to make this work you need to have Open-Knesset source and latest db file
 from the shell type::

   $ python manage.py shell_plus
   In [1]: ed tomer.py
'''
import json, urllib2

votes=[6904,7454,6786]