from IPython.display import display, Image, HTML
from talktools import website, nbviewer

website('http://ipython.org')

import ipythonproject

ipythonproject.core_devs()

import vincent
import pandas as pd
vincent.initialize_notebook()

import pandas.io.data as web

all_data = {}
for ticker in ['AAPL', 'GOOG', 'IBM', 'YHOO', 'MSFT']:
    all_data[ticker] = web.get_data_yahoo(ticker, '1/1/2010', '1/1/2013')
price = pd.DataFrame({tic: data['Adj Close'] for tic, data in all_data.items()})

price[0:10]

line = vincent.Line(price[['GOOG', 'AAPL', 'IBM', 'YHOO', 'MSFT']], width=600, height=300)
line.axis_titles(x='Date', y='Price')
line.legend(title='Ticker')
display(line)

import numpy as np
X = np.array([0,1,2,3,4])
Y = np.array([3,5,4,6,7])
%load_ext rmagic

%%R -i X,Y -o XYcoef
XYlm = lm(Y~X)
XYcoef = coef(XYlm)
print(summary(XYlm))
par(mfrow=c(2,2))
plot(XYlm)

website("http://nbviewer.ipython.org/url/jdj.mit.edu/~stevenj/IJulia%20Preview.ipynb")

website("http://nbviewer.ipython.org")

website("http://nbviewer.ipython.org/url/norvig.com/ipython/xkcd1313.ipynb")