Embedding IPython Notebook¶

Placeholder Notebook Title

Some introduction text

In [3]:

# import stuffs
import matplotlib.pyplot as plt
import numpy as np

%matplotlib inline

Section

In [2]:

# do stuffs
x = np.linspace(0, 100)
y = 1 - x**2
y

Out[2]:

array([  1.00000000e+00,  -3.16493128e+00,  -1.56597251e+01,
        -3.64843815e+01,  -6.56389005e+01,  -1.03123282e+02,
        -1.48937526e+02,  -2.03081633e+02,  -2.65555602e+02,
        -3.36359434e+02,  -4.15493128e+02,  -5.02956685e+02,
        -5.98750104e+02,  -7.02873386e+02,  -8.15326531e+02,
        -9.36109538e+02,  -1.06522241e+03,  -1.20266514e+03,
        -1.34843773e+03,  -1.50254019e+03,  -1.66497251e+03,
        -1.83573469e+03,  -2.01482674e+03,  -2.20224865e+03,
        -2.39800042e+03,  -2.60208205e+03,  -2.81449354e+03,
        -3.03523490e+03,  -3.26430612e+03,  -3.50170721e+03,
        -3.74743815e+03,  -4.00149896e+03,  -4.26388963e+03,
        -4.53461016e+03,  -4.81366056e+03,  -5.10104082e+03,
        -5.39675094e+03,  -5.70079092e+03,  -6.01316077e+03,
        -6.33386047e+03,  -6.66289005e+03,  -7.00024948e+03,
        -7.34593878e+03,  -7.69995793e+03,  -8.06230696e+03,
        -8.43298584e+03,  -8.81199459e+03,  -9.19933319e+03,
        -9.59500167e+03,  -9.99900000e+03])

Section 2

In [3]:

# do more stuffs
plt.plot(x, y)

Out[3]:

[<matplotlib.lines.Line2D at 0x9a17278>]

(Placeholder_Notebook.ipynb; Placeholder_Notebook_evaluated.ipynb; )