mccutchen

$ python hello.py 
Topic apps daily avg: 620.02 MB over 31 days
Topic buzz_app daily avg: 538.45 MB over 31 days
Topic client_side_game_errors daily avg: 0.0 Byte over 0 days
Topic cms_events daily avg: 1.15 MB over 31 days
Topic conversion_events daily avg: 28.39 GB over 31 days
Topic cute_or_not_app daily avg: 2.16 KB over 31 days
Topic distributed_object_statistics daily avg: 1.83 KB over 3 days
Topic distributed_object_statistics_raw daily avg: 403.27 MB over 31 days
Topic distributed_objects_raw daily avg: 13.68 MB over 31 days

mccutchen

#!/usr/bin/env bash

# When eval'd, the output from script will export the AWS_ACCESS_KEY_ID and
# AWS_SECRET_ACCESS_KEY credentials from the a specific profile in
# ~/.aws/credentials.
#
# Usage:
#
#    export-aws-credentials [PROFILE]
#

mccutchen

def cached(ttl, cache={}):
    """
    A decorator for nullary functions that caches their results in memory for a
    given number of seconds.
    """
    def cached_decorator(f):
        key = f.__name__
        def decorated(*args, **kwargs):
            if key in cache:
                result, ts = cache[key]

mccutchen

import json
import os
import socket

import tornado.options


tornado.options.define('environment', default='dev', help='environment')

app_name = os.path.basename(os.path.dirname(__file__))

mccutchen

[user]
    name = Will McCutchen
    email = [email protected]
[alias]
    br = branch
    ci = commit
    co = checkout
    fb = "!git fetch origin && git rebase origin/master $@"
    ignored = ls-files --others -i --exclude-standard
    lg = log --graph --pretty=format:'%Cred%h%Creset -%C(yellow)%d%Creset %s %Cgreen(%an, %cr)%Creset' --abbrev-commit --date=relative --topo-order

mccutchen

[user]
    name = YOUR NAME HERE
    email = YOUR EMAIL ADDRESS HERE
[alias]
    br = branch
    ci = commit
    co = checkout
    lg = log --graph --pretty=format:'%Cred%h%Creset -%C(yellow)%d%Creset %s %Cgreen(%an, %cr)%Creset' --abbrev-commit --date=relative --topo-order
    st = status -sb
    up = fetch --all --prune

mccutchen

def weighted_choice(choices):
    # http://stackoverflow.com/a/3679747/151221
    total = sum(w for c, w in choices)
    r = random.uniform(0, total)
    for c, w in choices:
        r -= w
        if r <= 0:
            return c

mccutchen

#!/bin/bash

if [ -z "$1" ]; then
  echo "Usage: `basename $0` BRANCHNAME"
  exit 1
fi

git fetch origin
git checkout -b "$1" origin/master --no-track

mccutchen

>>> import urllib
>>> url = 'http://www.newyorker.com/magazine/2014/10/13/cooka%C2%80%C2%99s-tale'
>>> urllib.unquote(url)
'http://www.newyorker.com/magazine/2014/10/13/cooka\xc2\x80\xc2\x99s-tale'
>>> print _
http://www.newyorker.com/magazine/2014/10/13/cooka€™s-tale
>>> urllib.unquote(url).decode('utf8')
u'http://www.newyorker.com/magazine/2014/10/13/cooka\x80\x99s-tale'
>>> print _
http://www.newyorker.com/magazine/2014/10/13/cooka€™s-tale

mccutchen

def gen_batches(xs, size):
    """
    Given a sequence xs and a batch size, yield batches from the sequence as
    lists of length size, where the last batch might be smaller than the
    rest.

        >>> list(gen_batches(range(9), 3))
        [[0, 1, 2], [3, 4, 5], [6, 7, 8]]
    
        >>> list(gen_batches(range(11), 3))