marklit

class bcolors:
    HEADER = '\033[95m'
    OKBLUE = '\033[94m'
    OKGREEN = '\033[92m'
    WARNING = '\033[93m'
    FAIL = '\033[91m'
    ENDC = '\033[0m'

    def disable(self):
        self.HEADER = ''

marklit

$ export PATH="/Library/Frameworks/Python.framework/Versions/2.7/bin:${PATH}"
$ sudo easy_install setuptools

$ wget http://pypi.python.org/packages/source/p/pip/pip-0.6.3.tar.gz
$ tar xzf pip-0.6.3.tar.gz
$ cd pip-0.6.3
$ sudo python setup.py install

$ sudo pip install virtualenv virtualenvwrapper

marklit

<link rel="apple-touch-icon" href="images/apple-touch-icon.png">
<link rel="apple-touch-icon" sizes="72x72" href="images/apple-touch-icon-72x72.png">
<link rel="apple-touch-icon" sizes="114x114" href="images/apple-touch-icon-114x114.png">

marklit

                         RAM       Disk     Bandwidth
cost per month (USD)     $20.00    $2.00    $10.00
amount per month (MB)    360MB     2048MB   102,400MB
$/GB                     $56.89    $1.00    $0.10
Ratio                    ~57x      10x

marklit

alias hglog="hg log --template '\033[31m{rev}\033[0m \033[32m{date|age}\033[0m \033[33m{author|person}\033[0m \033[30;1m{desc}\033[0m\n' | less -R"

marklit

hg diff | \
sed -e 's/^--- .*/'`echo -e "\033[0;46m"`'&'`echo -e "\033[0m"`'/' | \
sed -e 's/^+++ .*/'`echo -e "\033[0;46m"`'&'`echo -e "\033[0m"`'/' | \
sed -e 's/^-.*/'`echo -e "\033[0;41m"`'&'`echo -e "\033[0m"`'/' | \
sed -e 's/^+.*/'`echo -e "\033[0;42m"`'&'`echo -e "\033[0m"`'/' | \
less -R

marklit

import threading, Queue, time, random

WORKERS = 4
JOB_COUNT = 100

class Worker(threading.Thread):
    def __init__(self, queue):
        self.__queue = queue
        threading.Thread.__init__(self)
        

marklit

require 'twitter'

Twitter::Search.new.geocode(39.037, -94.5874, '5mi').fetch().results
        #=> all tweets within 5 miles of lat/lon

Twitter::Search.geocode(39.037, -94.5874, '5mi').fetch().results.first
        #=> most recent tweet within 5 miles of lat/lon

Twitter::Search.new('dinner').geocode(39.037, -94.5874, '5mi').fetch().results
        #=> all tweets containing the word 'dinner' within 5 miles of lat/lon

marklit

var song = new Backbone.Model({
    title: "Lucy In The Sky With Diamonds",
    album: new Backbone.Model({
        title: "Sgt. Pepper's Lonely Hearts Club Band",
        release: {
            year: "1987"
        }
    })
});

marklit

import math
import random
import operator

from django.contrib.gis.geos import LineString, Point

from scenicroute.apps.hunts.routing.triangulation import (
        build_triangulation, START_INDEX, END_INDEX)
from scenicroute.apps.hunts.routing.culling import no_dupes
from scenicroute.apps.hunts.routing.estimation import (duration_for_distance,