In [1]:

import numpy as np

In [6]:

%%capture timeit_results
# Regular Python
%timeit python_list_1 = range(1,1000)
python_list_1 = range(1,1000)
python_list_2 = range(1,1000)

#Numpy
%timeit numpy_list_1 = np.arange(1,1000)
numpy_list_1 = np.arange(1,1000)
numpy_list_2 = np.arange(1,1000)

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print(timeit_results)

1000000 loops, best of 3: 223 ns per loop
The slowest run took 12.37 times longer than the fastest. This could mean that an intermediate result is being cached.
1000000 loops, best of 3: 996 ns per loop

In [7]:

%%capture timeit_python
%%timeit
# Regular Python
[(x + y) for x, y in zip(python_list_1, python_list_2)]
[(x - y) for x, y in zip(python_list_1, python_list_2)]
[(x * y) for x, y in zip(python_list_1, python_list_2)]
[(x / y) for x, y in zip(python_list_1, python_list_2)];

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print( timeit_python)

1000 loops, best of 3: 273 us per loop

In [10]:

%%capture timeit_numpy
%%timeit
#Numpy
numpy_list_1 + numpy_list_2
numpy_list_1 - numpy_list_2
numpy_list_1 * numpy_list_2
numpy_list_1 / numpy_list_2;

In [12]:

print( timeit_numpy)

The slowest run took 62.71 times longer than the fastest. This could mean that an intermediate result is being cached.
100000 loops, best of 3: 5.26 us per loop

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sample¶

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!pwd

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%lsmagic

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%matplotlib inline

In [9]:

"""
Demo of bar plot on a polar axis.
"""
import numpy as np
import matplotlib.pyplot as plt


N = 20
theta = np.linspace(0.0, 2 * np.pi, N, endpoint=False)
radii = 10 * np.random.rand(N)
width = np.pi / 4 * np.random.rand(N)

ax = plt.subplot(111, projection='polar')
bars = ax.bar(theta, radii, width=width, bottom=0.0)

# Use custom colors and opacity
for r, bar in zip(radii, bars):
    bar.set_facecolor(plt.cm.jet(r / 10.))
    bar.set_alpha(0.5)

plt.show()

In [11]:

%%HTML 
<HTML>
   <HEAD>
      <TITLE>
         A Small Hello 
      </TITLE>
   </HEAD>
<BODY>
   <H1>Hi</H1>
   <P>This is very minimal "hello world" HTML document.</P> 
</BODY>
</HTML>

A Small Hello

Hi

This is very minimal "hello world" HTML document.

In [7]:

%%HTML
<iframe width="560" height="315" src="https://www.youtube.com/embed/IVrGz8w0H8c" frameborder="0" allowfullscreen></iframe>

In [13]:

print("hello")

hello

In [16]:

%%timeit
10*10

100000000 loops, best of 3: 10.6 ns per loop

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## another sample

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