$ ipython
Python 2.7.6 |Anaconda 1.9.2 (x86_64)| (default, Feb 10 2014, 17:56:29)
Type “copyright”, “credits” or “license” for more information.
IPython 2.0.0 — An enhanced Interactive Python.
? -> Introduction and overview of IPython’s features.
%quickref -> Quick reference.
help -> Python’s own help system.
object? -> Details about ‘object’, use ‘object??’ for extra details.
In [ 1 ]: 3 + 4 * 2
Out[1]: 11
In [ 2 ]:
Using the option —pylab imports a large set of scientific and data analysis libraries, like
NumPy, in the namespace:
$ ipython —pylab
Python 2.7.6 |Anaconda 1.9.2 (x86_64)| (default, Feb 10 2014, 17:56:29)
Type “copyright”, “credits” or “license” for more information.
IPython 2.0.0 — An enhanced Interactive Python.
? -> Introduction and overview of IPython’s features.
%quickref -> Quick reference.
help -> Python’s own help system.
object? -> Details about ‘object’, use ‘object??’ for extra details.
Using matplotlib backend: MacOSX
In [ 1 ]: a = linspace( 0 , 20 , 5 ) # linspace from NumPy
In [ 2 ]: a
Out[ 2 ]: array([ 0., 5., 10., 15., 20.])
In [ 3 ]:
Similarly, the QT console of IPython is invoked by the following command:
$ ipython qtconsole —pylab inline
Using the inline parameter in addition to the —pylab option lets IPython plot all graphics
inline. Figure 2-2 shows a screenshot of the QT console with an inline plot.
Finally, the Notebook version is invoked as follows:
$ ipython notebook —pylab inline
Figure 2-3 shows a screenshot of an IPython Notebook session. The inline option again
has the effect that plots will be displayed in IPython Notebook and not in a separate
window.
All in all, there are a large number of options for how to invoke an IPython kernel. You
can get a listing of all the options by typing:
$ ipython —h
Refer to the IPython documentation for detailed explanations.
