%pylab inline

Populating the interactive namespace from numpy and matplotlib

x = linspace(0,1)
y = x**4
plot(x,y)

[<matplotlib.lines.Line2D at 0x7f24515e6790>]

This is a plot of $y=x^4$

Heading 1

Matplotlib Gallery: http://matplotlib.org/gallery.html#mplot3d

from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = fig.gca(projection='3d')
X = np.arange(-5, 5, 0.25)
Y = np.arange(-5, 5, 0.25)
X, Y = np.meshgrid(X, Y)
R = np.sqrt(X**2 + Y**2)
Z = np.cos(R)
surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.coolwarm,
        linewidth=0, antialiased=False)
ax.set_zlim(-1.01, 1.01)

ax.zaxis.set_major_locator(LinearLocator(10))
ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))

fig.colorbar(surf, shrink=0.5, aspect=5)

plt.show()

import subprocess
import shutil
nb_name = 'Python_example.ipynb' # There's probably a way to get this programmatically
cmd = ['ipython', 'nbconvert', '--to', 'slides', nb_name, \
       '--reveal-prefix', '"http://cdn.jsdelivr.net/reveal.js/2.6.2"',\
      '--template','output_toggle']
# The --template command points to a custom template which opens and closes the input code cells with a click
subprocess.call(cmd)
html_name = '%s.slides.html' % (nb_name.split('.')[0])
shutil.copy(html_name, '/home/bhardin2/public_html/slideshows/')

print 'http://remote2.ece.illinois.edu/~bhardin2/slideshows/Python_example.slides.html'

http://remote2.ece.illinois.edu/~bhardin2/slideshows/Python_example.slides.html