pmallory

from Foundation import *
from ScriptingBridge import *
 
iTunes = SBApplication.applicationWithBundleIdentifier_(
            "com.apple.iTunes")
 
years = {}
 
for track in iTunes.currentPlaylist().tracks():
    if not track.year() in years:

pmallory

/* gist formatting */
.line {
    background-color: #f1fafb;
}
.gist-highlight {
    border-left: 3ex solid #eee;
    position: relative;
}
.gist-highlight pre {
    counter-reset: linenumbers;

pmallory

"enable syntax highlighting
syntax enable:

"set color scheme
set background=dark

"tab settings
set expandtab
set tabstop=4
set shiftwidth=4

pmallory

# .bashrc

# Source global definitions
if [ -f /etc/bashrc ]; then
        . /etc/bashrc
fi

# User specific aliases and functions
export PS1="\n\[\e[32m\]\u@\h \e[37m\t \[\e[33m\]\w\[\e[0m\]\$(__git_ps1)\n\$ "

pmallory

# .bash_profile

# Get the aliases and functions
if [ -f ~/.bashrc ]; then
        . ~/.bashrc
fi

# User specific environment and startup programs

PATH=$PATH:$HOME/bin

pmallory

import curses
from itertools import product, islice, cycle
import random
import time

# cycling iterator of a cell's eight neigbors
neighbors = cycle(filter(lambda x: x!=(0,0), product(range(-1,2), repeat=2)))

def iterate(board, board_size):
    """Given a board state generate the next generation and return it.

pmallory

import timeit
from shakespeare import LETTERS, WORDS

if __name__ == '__main__':

    # dict

    t = timeit.Timer(stmt="""
            counter = dict()
            for k in LETTERS:

pmallory

{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

pmallory

red_wine$volatile.acidity.cat <-
   cut(red_wine$volatile.acidity,
       breaks = quantile(red_wine$volatile.acidity, 
                         probs = c(0, 0.25, 0.5, 0.75, 1.0)))

x_title = "Alcohol (percentage by volume)"
y_title = "Quality\n(0: very bad -> 10: very excellent)"
color_title = expression(paste("Volatile Acidity (", g / dm^{3}, ")"))

# Create label array for color legend.

pmallory

import matplotlib.pyplot as plt
import random

def binary_search(target, epsilon):
    guess = 1.0
    bottom = 1.0
    top = float("inf")
    steps = 0

    while abs(target-guess)>epsilon: