In [1]:

    

pwd


    

    
Out[1]:





u'/Users/sukruhasdemir/Dropbox/python-study/ipython-book'

In [2]:

    

%lsmagic


    

    




Available line magics:
%alias  %alias_magic  %autocall  %automagic  %bookmark  %cd  %clear  %colors  %config  %connect_info  %debug  %dhist  %dirs  %doctest_mode  %ed  %edit  %env  %gui  %hist  %history  %install_default_config  %install_ext  %install_profiles  %killbgscripts  %less  %load  %load_ext  %loadpy  %logoff  %logon  %logstart  %logstate  %logstop  %lsmagic  %macro  %magic  %man  %more  %notebook  %page  %pastebin  %pdb  %pdef  %pdoc  %pfile  %pinfo  %pinfo2  %popd  %pprint  %precision  %profile  %prun  %psearch  %psource  %pushd  %pwd  %pycat  %pylab  %qtconsole  %quickref  %recall  %rehashx  %reload_ext  %rep  %rerun  %reset  %reset_selective  %run  %save  %sc  %store  %sx  %system  %tb  %time  %timeit  %unalias  %unload_ext  %who  %who_ls  %whos  %xdel  %xmode

Available cell magics:
%%!  %%bash  %%capture  %%file  %%perl  %%prun  %%ruby  %%script  %%sh  %%sx  %%system  %%timeit

Automagic is ON, % prefix IS NOT needed for line magics.

In [3]:

    

a = 12


    

In [4]:

    

a**2


    

    
Out[4]:





144

In [8]:

    

print "The result is {0:d}.".format(_7)


    

    




The result is 1728.

In [7]:

    

a**3


    

    
Out[7]:





1728

In [9]:

    

import os


    

In [ ]:

    

os.path.split._


    

In [10]:

    

timeit [x**2 for x in range(100000)]


    

    




100 loops, best of 3: 9.32 ms per loop

In [11]:

    

9/0


    

    




---------------------------------------------------------------------------
ZeroDivisionError                         Traceback (most recent call last)
<ipython-input-11-dee41f0530bc> in <module>()
----> 1 9/0

ZeroDivisionError: integer division or modulo by zero

In [13]:

    

pylab


    

    




Welcome to pylab, a matplotlib-based Python environment [backend: MacOSX].
For more information, type 'help(pylab)'.

In [15]:

    

x = linspace(-10., 10., 1000)


    

In [17]:

    

plot(x, sin(x))


    

    
Out[17]:





[<matplotlib.lines.Line2D at 0x107fcea90>]

In [22]:

    

a = ones(6); a


    

    
Out[22]:





array([ 1.,  1.,  1.,  1.,  1.,  1.])

In [19]:

    

import numpy as np


    

In [23]:

    

b = np.ones(6); b


    

    
Out[23]:





array([ 1.,  1.,  1.,  1.,  1.,  1.])

In [31]:

    

c = type(a) == type(b)


    

In [32]:

    

c


    

    
Out[32]:





True

In [92]:

    

ranges = np.array([0.79, 0.70, 0.73, 0.66, 0.65, 0.70, 0.74, 0.81, 0.71, 0.70])
mu = np.mean(ranges)


    

In [93]:

    

var = np.var(ranges)
N = len(ranges)
c = 1.96 * np.sqrt(var/N)


    

In [94]:

    

low = mu - c
high = mu +c
print low, high


    

    




0.689088319338 0.748911680662

In [102]:

    

15.5/16


    

    
Out[102]:





0.96875

In [96]:

    

4./3 - 1.3333


    

    
Out[96]:





3.333333333332966e-05

In [100]:

    

-5./3


    

    
Out[100]:





-1.6666666666666667

In [ ]: