# special IPython command to prepare the notebook for matplotlib
%matplotlib inline 

import requests 
import StringIO
import zipfile
import numpy as np
import pandas as pd # pandas
import matplotlib.pyplot as plt # module for plotting 

# If this module is not already installed, you may need to install it. 
# You can do this by typing 'pip install seaborn' in the command line
import seaborn as sns 

import sklearn
import sklearn.datasets
import sklearn.cross_validation
import sklearn.decomposition
import sklearn.grid_search
import sklearn.neighbors
import sklearn.metrics

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#load the iris data set
iris = sklearn.datasets.load_iris()

X = iris.data  
Y = iris.target

print X.shape, Y.shape

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digits = sklearn.datasets.load_digits()

X = digits.data  
Y = digits.target

print X.shape, Y.shape

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