from IPython.display import HTML

%load_ext load_style

%load_style talk.css

HTML('<iframe src=http://ipython.org/notebook.html width=900 height=350></iframe>')

### This is a code cell, containing python code, it is executed by <shift>-<enter> or <alt>-<enter>

def func(x): 
    return x**2

[func(x) for x in xrange(10)]

some_dict = {}
some_dict?

from numpy import random 
random?

help(random) # produces a long output below instead of in a dedicated frame. <CTRL>-<M> <D>

listA = [1, 2., 'sentence', 1, (1,2), {'answer': 42}] # here I construct a LIST containing different items

listA

listA.count(1)
listA.count(2.0)

listA.count(

listA

from IPython.display import Image, YouTubeVideo

### that will display a frame with specified width and height ... 

HTML('<iframe src="http://numpy.org/" height=300 width=600>'
     '</iframe>')

### This inserts an image in the output cell

Image(filename='images/lost_wormhole.jpg',width=500)

### This embeds a video from YouTube
### You can embed Vimeo videos by calling from IPython.display import VimeoVideo

# Fernando Pérez at PyConCA, here I start at 30 minutes 
YouTubeVideo('F4rFuIb1Ie4', start = 30*60)  

### You can also embed a LOCAL video in the notebook, but have to encode it: Not sure it will work 
### on Windows ...

import io
import base64

filename = './data/Astro_ML_PYDATA2012.mp4'

video = io.open(filename, 'r+b').read()
encoded = base64.b64encode(video)
HTML(data='''<video alt="AstroML talk" controls>
           <source src="data:video/mp4;base64,{0}" type="video/mp4" />
           </video>'''.format(encoded.decode('ascii')))

import numpy as np
import matplotlib.pyplot as plt

# this is a magic IPython command (%) allowing matplotlib plots to be displayed inline in the notebook 
%matplotlib inline

t = np.linspace(0, 2*np.pi, 100)
plt.plot(np.sin(t))

# you can also choose to display figure OUTSIDE the notebook
# the available backends are [inline|qt|osx|gtx] ... For Windows try qt
%matplotlib osx 

t = np.linspace(0, 2*np.pi, 100)
plt.plot(np.sin(t))

%matplotlib inline

%lsmagic 

%whos 

%%file tmp.py
#!/usr/bin/env python 
import numpy as np

print('Hello world')

a = np.arange(10) ### will be available in the namespace 

%run tmp.py

a

%load tmp.py

#!/usr/bin/env python 
import numpy as np

print('Hello world')

a = np.arange(10) ### will be available in the namespace 

#!/usr/bin/env python 
import numpy as np

print('Hello world')

a = np.arange(10) ### will be available in the namespace 

### loading an example from the matplotlib gallery

%load http://matplotlib.org/mpl_examples/images_contours_and_fields/streamplot_demo_features.py

"""
Demo of the `streamplot` function.

A streamplot, or streamline plot, is used to display 2D vector fields. This
example shows a few features of the stream plot function:

    * Varying the color along a streamline.
    * Varying the density of streamlines.
    * Varying the line width along a stream line.
"""
import numpy as np
import matplotlib.pyplot as plt

Y, X = np.mgrid[-3:3:100j, -3:3:100j]
U = -1 - X**2 + Y
V = 1 + X - Y**2
speed = np.sqrt(U*U + V*V)

plt.streamplot(X, Y, U, V, color=U, linewidth=2, cmap=plt.cm.autumn)
plt.colorbar()

f, (ax1, ax2) = plt.subplots(ncols=2)
ax1.streamplot(X, Y, U, V, density=[0.5, 1])

lw = 5*speed/speed.max()
ax2.streamplot(X, Y, U, V, density=0.6, color='k', linewidth=lw)

plt.show()



!rm tmp.py  ### ! escapes to the OS (!del tmp.py on windows)

notebooks = !ls ?_*.ipynb ### notebooks is a python list ... not sure how to use wildcards on Windows

notebooks

%%bash

# Substitutes underscores for blanks in all the filenames in a directory.

ONE=1                     # For getting singular/plural right (see below).
number=0                  # Keeps track of how many files actually renamed.
FOUND=0                   # Successful return value.

for filename in *         # Traverses all files in directory.
do
     echo "$filename" | grep -q " "         # Checks whether filename
     if [ $? -eq $FOUND ]                   # contains space(s).
     then
       fname=$filename                      # Strips off path.
       n=`echo $fname | sed -e "s/ /_/g"`   # Substitutes underscore for blank.
       mv "$fname" "$n"                     # Do the actual renaming.
       let "number += 1"
     fi
done   

if [ "$number" -eq "$ONE" ]                 # For correct grammar.
then
 echo "$number file renamed."
else 
 echo "$number files renamed."
fi 

exit 0

#!ipython nbconvert --help
!/Users/nicolasfauchereau/anaconda/bin/ipython nbconvert --help

# needs pandoc installed (http://johnmacfarlane.net/pandoc/installing.html)
#! ipython nbconvert 1_Overview_IPython.ipynb --to html
!/Users/nicolasfauchereau/anaconda/bin/ipython nbconvert 1_Overview_IPython.ipynb --to html

%quickref