fnielsen

xs = [ float(i)/64.0 for i in range(-150, 41) ]
ys = [ float(i)/16.0 for i in range(-25,26) ]
for y in ys: 
    s = ''
    for x in xs:
        z = 0j; i = 0
        while i < 10:
            z = z**2 + x+y*1j
            if abs(z) > 2: 
                break   # Get out of inner loop

fnielsen

# wget http://neuro.imm.dtu.dk/services/bredewiki/download/bredewiki-templates.sqlite3
import matplotlib.pyplot as plt
import networkx as nx
from pysqlite2 import dbapi2

connection = dbapi2.Connection('bredewiki-templates.sqlite3')
sql = "SELECT DISTINCT tid FROM brede WHERE (template='paper' OR template='conference_paper');"
cursor = connection.cursor()
cursor.execute(sql)
tids = [ row[0] for row in cursor.fetchall() ]

fnielsen

import urllib, urllib2
import simplejson as json
import dateutil.parser
import datetime
import matplotlib.dates
import matplotlib.finance
from matplotlib import pyplot as plt
import nltk.corpus 
import numpy as np
import re

fnielsen

#!/usr/bin/python

import math, sys                  #  Importing modules.

def formatresult(res):            # Define function. Remember colon!
    """This is the documentation for a function."""
    return "The result is %f" % res  # Percentage for formating

if len(sys.argv) < 3:              # Conditionals should be indended
    print("Too few input argument")

fnielsen

# Modified Step1 Cone1.py from VTK examples by W. Schroeder (2006) Visualization...

import vtk, time

cone = vtk.vtkConeSource()                   # Cone graphical object
coneMapper = vtk.vtkPolyDataMapper()         # 'Mapper'
coneMapper.SetInputConnection(cone.GetOutputPort())
coneActor = vtk.vtkActor()                   # 'Actor'
coneActor.SetMapper(coneMapper)
ren1= vtk.vtkRenderer()                      # 'Renderer'

fnielsen

import simplejson, urllib           # To get posts from Twitter
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm           # Colormap
import scipy.stats                  # For kernel density estimation

# Get geo-tagged posts from Twitter
url = 'http://search.twitter.com/search?q=geotag&format=json&rpp=100'
resp = simplejson.load(urllib.urlopen(url))
coords = np.asarray([ t['geo']['coordinates'][::-1] 

fnielsen

from matplotlib.finance import quotes_historical_yahoo
from matplotlib.dates import num2date
from matplotlib.pyplot import *
from datetime import date

quotes = quotes_historical_yahoo('NVO', date(2011, 1, 1), date.today())
dates = [ num2date(row[0]) for row in quotes ]
closeprice = [ row[1] for row in quotes ]
plot(dates, closeprice)
show()

fnielsen

from pylab import *
from urllib2 import urlopen
from simplejson import load
from re import findall

url = 'http://neuro.imm.dtu.dk/w/api.php?' + \
      'action=query&list=blocks&' + \
      'bkprop=id|user|by|timestamp|expiry|reason|range|flags&' + \
      'bklimit=500&format=json'
data = load(urlopen(url))

fnielsen

import htmllib, formatter, urllib, urlparse

k = 1
urls = {}
todownload = set(['http://www.dtu.dk'])
while todownload:
  url0 = todownload.pop()
  urls[url0] = set()
  try: 
    p = htmllib.HTMLParser(formatter.NullFormatter())

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