klenwell

# -*- coding: utf-8 -*-
"""
    Google App Engine Stateful Model
    
    Subclass App Engine db.Model class so that it may function as a flexible
    state machine.
    
    REFERENCES
    http://blog.notdot.net/2010/04/Pre--and-post--put-hooks-for-Datastore-models
"""

klenwell

<?php
/**
 * Wikka Action Class
 *
 * An abstract class that can be extended for wikka action classes.
 *
 *
 * @package     Action
 * @author      Tom Atwell <[email protected]>
 * @copyright   Copyright 2010, Tom Atwell <[email protected]>

klenwell

# -*- coding: utf-8 -*-
"""
    DictObject 
    Converts dict to object
"""
from collections import defaultdict

class DictObject(defaultdict):
    def __getattr__(self, key):
        return self[key]

klenwell

This playbook automates local installation of a Wikka wiki webserver:

ansible-playbook -v -i .dev/deploy/dev .dev/deploy/dev_install.yml --connection=local

klenwell

"""
    Search Stack Overflow by tags for questions still worth answering
    
    References:
        search API: http://api.stackexchange.com/docs/advanced-search
"""
import stackexchange
import pdb
from datetime import datetime, timedelta
import time

klenwell

#
# Natural Language Date Parsing
# http://stackoverflow.com/q/25089784/1093087
#

import parsedatetime as pdt
from datetime import datetime, date, timedelta
from time import mktime
import pdb

klenwell

#
# This playbook assumes the WebSphere MQ file provided by IBM has already been
# downloaded to a specific directory (target.wd) on the server. 
#
# ${target.wd} is a variable representing the working directory on the target
# server the MQ client will be installed.
#
# Note: Although this playbook is designed to be able to be run independently,
# it is in fact part of a longer playbook and therefore may have some other
# unexpected dependencies not reflected here.

klenwell

import random
from math import sqrt
from trueskill import TrueSkill, Rating, quality_1vs1, rate_1vs1, BETA
from trueskill.backends import cdf

# From https://github.com/sublee/trueskill/issues/1#issuecomment-10491635
def win_probability(team_rating, opponent_rating):
    delta_mu = team_rating.mu - opponent_rating.mu
    denom = sqrt(2 * (BETA * BETA) + pow(team_rating.sigma, 2) + pow(opponent_rating.sigma, 2))
    win_prob = cdf(delta_mu / denom)

klenwell

From a comment by aws17576 on MetaFilter:

By the way, I wholeheartedly endorse Persi Diaconis's comment that probability is one area where even experts can easily be fooled. This was demonstrated to me in grad school when my advisor, addressing a roomful of mathematicians, posed this problem:

Person A flips a coin repeatedly, stopping the first time two heads in a row appear. Person B flips a coin repeatedly, stopping the first time a head and then a tail appear in a row. Who will flip the coin more times on average -- A, B, or is there no difference?

He let everyone think for a moment, then took a show of hands. Almost everyone got it wrong.

klenwell

#
# Simple Scraper for Dow Jones Industrial Average
# With Python 3
#
# INSTALLATION (with pyenv)
#   pyenv local 3.4.1
#   pip install requests
#   pip install beautifulsoup4
#   pip install https://github.com/syabro/soupselect/archive/master.zip
#