using python modules/script.rst
author amit
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.. Objectives
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.. ----------
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.. At the end of this tutorial, you will be able to 
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.. 1. Execute python scripts from command line.
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.. #. Use import in scripts.
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.. #. Import scipy and pylab modules
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.. #. Use python standard modules and 3rd party modules.
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.. Prerequisites
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.. -------------
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..   1. should have ``pylab`` installed. 
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..   #. using plot command interactively.
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..   #. embellishing a plot.
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..   #. saving plots.
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.. Author              : Anoop Jacob Thomas <anoop@fossee.in>
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   Internal Reviewer   : 
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   External Reviewer   :
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   Checklist OK?       : <put date stamp here, if OK> [2010-10-05]
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====================
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Using Python modules
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====================
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{{{ show the welcome slide }}}
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Welcome to the spoken tutorial on using python modules.
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{{{ switch to next slide, outline slide }}}
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In this tutorial, we will see how to run python scripts from command
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line, importing modules, importing scipy and pylab modules. And also
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see the Python standard library.
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.. #[Punch: the sentence seems discontinuous.]
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{{{ switch to next slide on executing python scripts from command line }}}
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Let us create a simple python script to print hello world. Open your
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text editor and type the following,
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{{{ open the text editor and type the following }}}
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::
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    print "Hello world!"
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    print
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and save the script as hello.py,
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{{{ save the script as hello.py }}}
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Till now we saw how to run a script using the IPython interpreter
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using the
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::
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    %run -i hello.py
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option, but that is not the correct way of running a python
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script. 
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The correct method is to run it using the Python interpreter. Open the
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terminal and navigate to the directory where hello.py is,
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{{{ open terminal and navigate to directory where hello.py was saved }}}
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{{{ switch to next slide }}}
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now run the Python script as,
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::
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    python hello.py
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It executed the script and we got the output ``Hello World!``.
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{{{ highlight ``python filename`` syntax on slide while narrating }}}
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The syntax is python space filename.
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{{{ switch to next slide, four plot problem }}}
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Now recall the four plot problem where we plotted four plots in a single
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figure. Let us run that script from command line.
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If you don't have the script, 
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{{{ open the four_plot.py file in text editor }}}
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just pause here and create a python script with the following lines
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and save it as four_plot.py.
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Now let us run four_plot.py as a python script.
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::
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    python four_plot.py
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Oops! even though it was supposed to work, it didn't. It gave an error
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``linspace()`` is not defined, which means that the function
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``linspace()`` is not available in the current name-space.
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But if you try to run the same script using ``%run -i four_plot.py``
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in your IPython interpreter started with the option ``-pylab`` it will
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work, because the ``-pylab`` option does some work for us by importing
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the required modules to our name-space when ipython interpreter
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starts. And thus we don't have to explicitly import modules.
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So now let us try to fix the problem and run the script in command
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line,
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{{{ switch to next slide, fix ``linspace`` problem }}}
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add the following line as the first line in the script,
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{{{ add the line as first line in four_plot.py and save }}}
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::
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    from scipy import *
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Now let us run the script again,
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::
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    python four_plot.py
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Now it gave another error -- plot not defined, let us edit the file
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again and add the line below the line we just added,
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{{{ switch to next slide, fix ``plot`` problem }}}
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{{{ add the line as second line in four_plot.py and save }}}
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::
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    from pylab import *
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And run the script,
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::
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    python four_plot.py
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Yes! it worked. So what did we do?
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We actually imported the required modules using the keyword ``import``.
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It could have also be done as,
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{{{ switch to next slide, better way of fixing }}}
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{{{ highlight the following in slide and say it loud }}}
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::
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    from scipy import linspace
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instead of,
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::
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    from scipy import *
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So in practice it is always good to use function names instead of
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asterisk or star. If we use asterisk to import from a particular
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module then it will replace any existing functions with the same name
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in our name-space.
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{{{ switch to next slide, Instead of ``*`` }}}
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So let us modify four_plot.py as,
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{{{ delete the first two lines and add the following }}}
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::
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    from scipy import linspace, pi, sin
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    from pylab import plot, legend, annotate
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    from pylab import xlim, ylim, title, show
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Now let us try running the code again as,
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::
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    python four_plot.py
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It works! In this method we actually imported the functions to the
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current name-space, and there is another method of doing it. And that
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is,
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{{{ switch to next slide }}}
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Notice that we use ``scipy.pi`` instead of just ``pi`` as in the
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previous method, and the functions are called as ``pylab.plot()`` and
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``pylab.annotate()`` and not as ``plot()`` and ``annotate()``.
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{{{ switch to next slide, problem statement }}}
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Write a script to plot a sine wave from minus two pi to two pi.
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Pause here and try to solve the problem yourself before looking at the
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solution.
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It can solved as,
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{{{ open sine.py and show it }}}
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the first line we import the required functions ``linspace()`` and
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``sin()`` and constant ``pi`` from the module scipy. the second and
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third line we import the functions ``plot()``, ``legend()``,
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``show()``, ``title()``, ``xlabel()`` and ``ylabel()``. And the rest
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the code to generate the plot.
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We can run it as,
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{{{ now switch focus to terminal and run the script }}}
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::
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    python sine.py
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{{{ switch to next slide, What is a module? }}}
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Until now we have been learning about importing modules, now what is a
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module?
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A module is simply a file containing Python definitions and
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statements. Definitions from a module can be imported into other
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modules or into the main module.
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{{{ switch to next slide, Python standard library }}}
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Python has a very rich standard library of modules. It is very
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extensive, offering a wide range of facilities. Some of the standard
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modules are,
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for Math: math, random
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for Internet access: urllib2, smtplib
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for System, Command line arguments: sys
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for Operating system interface: os
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for regular expressions: re
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for compression: gzip, zipfile, tarfile
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And there are lot more.
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Find more information at Python Library reference,
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``http://docs.python.org/library/``
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The modules pylab, scipy, Mayavi are not part of the standard python
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library.
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{{{ switch to next slide, summary }}}
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This brings us to the end of this tutorial, in this tutorial we
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learned running scripts from command line, learned about modules, saw
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the python standard library.
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{{{ switch to next slide, thank you slide }}}
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Thank you!