Install iPython¶

Installation is easy. Optional: Use an enviroment like virtualenv to install the python code.

Install with pip: pip install iPython

Or download and install a scientific package, which delivers a lot of useful python libraries:

Anaconda http://continuum.io/downloads
Enthought Canopy https://www.enthought.com/

Basics¶

Cells¶

In [1]:

# this is a cell

In [2]:

# in a cell you can run python code
a = 10
b = 20
a + b

Out[2]:

Tab¶

Tab completion is quite powerful in iPython.

Suppress¶

You can supres the output with a ;

In [3]:

a + b;

History¶

In [4]:

Out[4]:

In [5]:

Out[5]:

In [6]:

__

Out[6]:

In [7]:

_i

Out[7]:

u'__'

In [8]:

In[3]

Out[8]:

u'a + b;'

In [9]:

Out[2]

Out[9]:

In [15]:

%history -l 10

a
__
_i
In[3]
Out[2]
%history –l 10
%history –l 10
%history –l
%history?
%history -l [10]

Help¶

In [16]:

import sys
sys?

In [17]:

%ls?

Use shift tab over a function name to see the declaration information.

Shell commands¶

You can use the shell command (e.g. bash) with a !

In [18]:

!ls

01_numpy.ipynb
02_audio.ipynb
03_R.ipynb
04_Cython.ipynb
DataLab_final_logo__ColourURL_--UPDATED.png
Pandas.ipynb
Untitled0.ipynb
aapl_ohlc.csv
deepscore_cnn.py
deepscore_simple_1
mnist.pkl.gz
mnist.py
mnist.pyc
mnist_conv.py
png2pickle.ipynb
title.ipynb

Assigne to a python variable.

In [20]:

files = !ls
files

Out[20]:

['01_numpy.ipynb',
 '02_audio.ipynb',
 '03_R.ipynb',
 '04_Cython.ipynb',
 'DataLab_final_logo__ColourURL_--UPDATED.png',
 'Pandas.ipynb',
 'Untitled0.ipynb',
 'aapl_ohlc.csv',
 'deepscore_cnn.py',
 'deepscore_simple_1',
 'mnist.pkl.gz',
 'mnist.py',
 'mnist.pyc',
 'mnist_conv.py',
 'png2pickle.ipynb',
 'title.ipynb']

Rich content¶

IPython uses the full potential of modern web techonologies.

In Python, objects can declare their textual representation using the __repr__ method. IPython expands on this idea and allows objects to declare other, richer representations including:

HTML
JSON
PNG
JPEG
SVG
LaTeX

In [26]:

from IPython.display import HTML

HTML('<iframe src=http://dlab.zhaw.ch width=800 height=350></iframe>')

Out[26]:

In [28]:

from IPython.display import Image
Image('DataLab_final_logo__ColourURL_--UPDATED.png')

Out[28]:

Publish¶

Store your Notebook in a git repository and point the NDViewer to it.

NDViewer http://nbviewer.ipython.org/

Collaboration¶

In [36]:

from datetime import timedelta
from IPython.display import YouTubeVideo
YouTubeVideo('F4rFuIb1Ie4', start=int(timedelta(hours=0, minutes=44, seconds=32).total_seconds()))

Out[36]:

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