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Re-decoupled comm_id from widget models
Re-decoupled comm_id from widget models
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NumPy and Matplotlib examples

First import NumPy and Matplotlib:

In [1]:
%pylab inline

Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.kernel.zmq.pylab.backend_inline].
For more information, type 'help(pylab)'.
In [2]:
import numpy as np

Now we show some very basic examples of how they can be used.

In [6]:
a = np.random.uniform(size=(100,100))
In [7]:
a.shape
Out[7]:
(100, 100)
In [8]:
evs = np.linalg.eigvals(a)
In [10]:
evs.shape
Out[10]:
(100,)

Here is a very long heading that pandoc will wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap

Here is a cell that has both text and PNG output:

In [14]:
hist(evs.real)
Out[14]:
(array([95,  4,  0,  0,  0,  0,  0,  0,  0,  1]),
 array([ -2.93566063,   2.35937011,   7.65440086,  12.9494316 ,
        18.24446235,  23.53949309,  28.83452384,  34.12955458,
        39.42458533,  44.71961607,  50.01464682]),
 <a list of 10 Patch objects>)
No description has been provided for this image 
def foo(bar=1):
    """docstring"""
    raise Exception("message")