-
Book Overview & Buying
-
Table Of Contents
-
Feedback & Rating
NumPy Cookbook
In Chapter 1, we already saw a Python Anywhere console in action, without having an account. This recipe will require you to have an account, but don't worry—it's free; at least if you don't need too many resources.
Signing up is a pretty straightforward process and will not be covered here. NumPy is already installed along with a long list of other Python software. For a complete list, see https://www.pythonanywhere.com/batteries_included/.
We will setup a simple script that gets price data from Google Finance every minute, and does simple statistics with the prices using NumPy.
Once we have signed up, we can login and have a look at the Python Anywhere dashboard:

Write the code.
The complete code for this example is as follows:
import urllib2
import re
import time
import sys
import numpy
prices = numpy.array([])
for i in xrange(3):
req = urllib2.Request('http://finance.google.com/finance/info?client=ig&q=' + sys.argv...
Change the font size
Change margin width
Change background colour