fnielsen

class Vehicle(): 
    def is_movable(self): return True

class Car(Vehicle):
    def __init__(self, color): self.color = color
    def has_wheels(self): return True

class CrashedCar(Car): 
    # overloading the grandparent 'is_movable' method
    def is_movable(self): return False

fnielsen

import gdata.youtube.service
yts = gdata.youtube.service.YouTubeService()
urlpattern = "http://gdata.youtube.com/feeds/api/videos/" + \
             "9ar0TF7J5f0/comments?start-index=%d&max-results=25"
index = 1
url = urlpattern % index
comments = []
while True: 
    ytfeed = yts.GetYouTubeVideoCommentFeed(uri=url)
    comments.extend([comment.content.text for comment in ytfeed.entry])

fnielsen

from Tkinter import *

def hello():
    """Callback function for button press."""
    print "Hello World"

# Main root window 
root = Tk()

# A button with a callback function

fnielsen

from Tkinter import *

root = Tk()

canvas = Canvas(root, width=400, height=200)
canvas.pack()
canvas.create_oval(10, 10, 110, 60, fill="grey")
canvas.create_text(60, 35, text="Oval")
canvas.create_rectangle(10, 100, 110, 150, outline="blue")
canvas.create_text(60, 125, text="Rectangle")

fnielsen

from __future__ import division
from itertools import *
from pylab import *
from nltk.corpus import brown
from string import lower
from collections import Counter


# The data: token counts from the Brown corpus
tokens_with_count = Counter(imap(lower, brown.words()))

fnielsen

def accuracy(truth, predicted):
    if len(truth) != len(predicted):
        raise Exception("Wrong sizes ...")
    total = len(truth)
    if total == 0: 
        return 0  
    hits = len(filter(lambda (x, y): x == y, zip(truth, predicted)))
    return float(hits)/total

fnielsen

class MyClass:
    my_static_variable = "Static"    # not self.
    def __init__(self):
        self.my_instance_variable = "Instance"
    def change_static(self):
        MyClass.my_static_variable = "Changed"   # not self.
    def change_instance(self):
        self.my_instance_variable = "Also changed"

fnielsen

# This example is close to the example provide by the emokit module.

from emokit import emotiv
import gevent

headset = emotiv.Emotiv()
gevent.spawn(headset.setup)        
gevent.sleep(1.5)

try: 

fnielsen

import gdata.youtube.service
from time import sleep


class YtsClassic(object):
    """
    http://finnaarupnielsen.wordpress.com/2009/09/21/getting-comments-from-youtube-via-pythons-gda/
    """
    def __init__(self):
        self.yts = gdata.youtube.service.YouTubeService()

fnielsen

from numpy import max, min


def mean_diff(a):
    """
    Parameters
    ----------
    a : array_like
    """
    return float((max(a) - min(a)) / (len(a) - 1))