In [ ]:

    




    

In [1]:

    

1+1


    

    
Out[1]:





2

In [2]:

    

%pylab inline 
#(import numpy as np and matplotlib)
plt.xkcd()
x = np.arange(0,2*np.pi,.01)
plt.plot(x,np.sin(x))


    

    




Populating the interactive namespace from numpy and matplotlib






    
Out[2]:





[<matplotlib.lines.Line2D at 0x105f639d0>]






    

In [3]:

    

from IPython.display import HTML
s = """<marquee>DFW Pythoneers!!!</marquee>"""
h = HTML(s); h


    

    
Out[3]:




DFW Pythoneers!!!

In [4]:

    

%%HTML
<button type="button" id="loading-example-btn" data-loading-text="Loading..." class="btn btn-primary">
  Loading state
</button>


    

    






  Loading state

In [5]:

    

%%javascript
console.log('hello world');


    

In [6]:

    

import bokeh.plotting as bplt
bplt.output_notebook()
bplt.figure()
bplt.line(x, sin(x), color="red")
bplt.show()


    

    








    
        
        
        
        
    
    
    
        
Configuring embedded BokehJS mode.
    







    








    
        
        
    
    
    
        
Plots
    

In [7]:

    

from IPython.display import HTML
HTML('<iframe src=http://fiddle.jshell.net/bokeh/K8P4P/show/ width=600 height=700></iframe>')


    

    
Out[7]:

In [8]:

    

import numpy as np
from IPython.display import Audio
framerate = 44100
t = np.linspace(0,5,framerate*5)
data = np.sin(2*np.pi*220*t**2)
Audio(data,rate=framerate)


    

    
Out[8]:





                
              

In [9]:

    

from IPython.display import YouTubeVideo
YouTubeVideo('xe_ATRmw0KM')


    

    
Out[9]:





        
        

In [10]:

    

%timeit np.linalg.eigvals(np.random.rand(100,100))


    

    




100 loops, best of 3: 11.2 ms per loop

In [11]:

    

%%timeit 
a = np.random.rand(100, 100)
np.linalg.eigvals(a)


    

    




100 loops, best of 3: 11 ms per loop

In [12]:

    

%%bash
echo "HELLO WORLD!"


    

    




HELLO WORLD!

In [13]:

    

%%file zenofpython.py
'''this is a brand new file'''
import this


    

    




Overwriting zenofpython.py

In [14]:

    

import zenofpython


    

    




The Zen of Python, by Tim Peters

Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!

In [15]:

    

%load_ext cythonmagic


    

In [16]:

    

%%cython --annotate
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        x+=n
    return x

def fast_f(int n):
    cdef double x=100.
    cdef int i
    for i in range(n):
        x+=n
    return x


    

    
Out[16]:














        
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In [17]:

    

!ls


    

    




CGM_DEMO.ipynb              LICENSE                     myfile.txt
IPythonOverview.ipynb       README.md                   zenofpython.py
IPythonOverview.slides.html ca_website.png              zenofpython.pyc

In [18]:

    

!cat CGM_DEMO.ipynb | sort | uniq -c | sort -r | head


    

    




  41     {
  41      "metadata": {},
  40     },
  21      ]
  21      "source": [
  21      "cell_type": "markdown",
  20      ],
  20      "outputs": []
  20      "language": "python",
  20      "input": [

In [19]:

    

%%ruby
puts "Hello from Ruby #{RUBY_VERSION}"


    

    




Hello from Ruby 1.8.7

In [20]:

    

%load_ext rmagic
##requires rpy2 and rtools and R 
X = np.array([0,1,2,3,4])
Y = np.array([3,5,4,6,7])


    

In [22]:

    

%%R -i X,Y -o XYcoef;
XYlm = lm(Y~X);
XYcoef = coef(XYlm);
#print(summary(XYlm))
par(mfrow=c(2,2))
plot(XYlm)


    

In [23]:

    

HTML('<iframe src=http://nbviewer.ipython.org/github/creswick/ihaskell-notebook/blob/master/examples/iHaskell%20Examples.ipynb  width=1024 height = 500></iframe>')


    

    
Out[23]:

In [25]:

    

from IPython.parallel import Client
c = Client()
c.ids


    

    
Out[25]:





[0, 1, 2, 3]

In [26]:

    

c[:].apply_sync(lambda : "Hello, World")


    

    
Out[26]:





['Hello, World', 'Hello, World', 'Hello, World', 'Hello, World']

In [27]:

    

from IPython.display import Image
Image(filename='ca_website.png',width=800,height=700)


    

    
Out[27]:

In [ ]: