ahoereth

def flatten(x, depth=-1):
    """Flattens a list of lists into a single list."""
    if depth == 0:
        return x
    if isinstance(x, list):
        result = []
        for el in x:
            if hasattr(el, '__iter__') and not isinstance(el, str):
                result.extend(flatten(el, depth - 1))
            else:

ahoereth

// This constant is written in column C for rows for which an email
// has been sent successfully.
var EMAIL_SENT = "EMAIL_SENT";
var RESULTCOL = 15; // O
var ASSIGNMENT = "09 - Blindwalk";
var SUBJECT = "[MATLAB] Assignment " + ASSIGNMENT;

var messages = {
  '1': "You successfully passed assignment " + ASSIGNMENT + ". Congrats!\n",
  '1?': "You passed assignment " + ASSIGNMENT + ". We want to note that it was a rather close call. If you want more specific feedback come up to us in class/after lecture or send an email.\n",

ahoereth

#!/usr/bin/env python3
"""Script locating the cheapest AWS GPU compute spot instance for docker."""
from argparse import ArgumentParser
from datetime import datetime, timedelta
from itertools import groupby
from operator import itemgetter

import boto3
import numpy as np

ahoereth

def kernel_images(name, x, pad=1, max_images=-1, summarize=True):
    """Create image summaries of 2d convolution kernel weights."""

    def factorization(n):
        """Calculates kernel grid dimensions."""
        for i in range(int(sqrt(float(n))), 0, -1):
            if n % i == 0:
                return i, n // i

    with tf.name_scope(name):

ahoereth

I'm Feeling Lucky : go : {google:baseURL}search?gfns=1&sourceid=navclient&q=%s
DuckDuckGo Cheat Sheets : cheat : https://duckduckgo.com/?q=cheat+sheet+%s&iax=1
Down For Everyone Or Just Me : down : http://downforeveryoneorjustme.com/%s
OpenCV 3.1 : cv : http://docs.opencv.org/3.1.0/search/all_5.html?%s

ahoereth

import React, { PropTypes } from 'react';
import ImmutableTypes from 'react-immutable-proptypes';
import classNames from 'classnames';


class DataTable extends React.Component {
  renderCell({ name, numeric }, row) {
    const className = !numeric ? 'mdl-data-table__cell--non-numeric' : '';
    return <td key={name} className={className}>{row.get(name, '')}</td>;
  }

ahoereth

import os
import sys
import csv
import json

filename = sys.argv[1]
name, _ = os.path.splitext(filename)

header = ['geonameid', 'name', 'asciiname', 'alternatenames',
          'latitude', 'longitude', 'featureclass', 'featurecode',

ahoereth

license: gpl-3.0

ahoereth

<template name="meteor_reactive_var">
  <div>{{count}}</div>
  <button>Increment Count</button>
</template>

ahoereth

Tutorial: Meteor on Windows using Vagrant

Requirements

Before doing anything else, install those:

• VirtualBox: https://www.virtualbox.org/wiki/Downloads
• Vagrant: https://www.vagrantup.com/downloads.html
• git: http://git-scm.com/download/win