%run talktools
%matplotlib inline

from IPython.display import IFrame
IFrame("http://nbviewer.ipython.org/github/brianckeegan/Bechdel/blob/master/Bechdel_test.ipynb", 800, 600)

def fibonacci():
    a, b = 0, 1
    while True:
        yield a
        a, b = b, a + b

for i, f in enumerate(fibonacci()):
    print f,
    if i > 35:
        break

import matplotlib.pyplot as plt
import numpy as np

x, y = np.random.normal(size=(2, 100))
s, c = np.random.random(size=(2, 100))

plt.scatter(x, y, c=c, s=1000 * s, alpha=0.3);

# %load http://matplotlib.org/mpl_examples/mplot3d/bars3d_demo.py

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
for c, z in zip(['r', 'g', 'b', 'y'], [30, 20, 10, 0]):
    xs = np.arange(20)
    ys = np.random.rand(20)

    # You can provide either a single color or an array. To demonstrate this,
    # the first bar of each set will be colored cyan.
    cs = [c] * len(xs)
    cs[0] = 'c'
    ax.bar(xs, ys, zs=z, zdir='y', color=cs, alpha=0.8)

ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')

plt.show()

from IPython.display import IFrame
IFrame("http://nbviewer.ipython.org", 800, 600)

IFrame("http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/", 800, 600)

from intfact import factorizer
factorizer()