Difference between revisions of "Course software"

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'''Microsoft Excel is not recommended''': it cannot perform some of the calculations and plots that you will require in the course, and it's accuracy is [http://dx.doi.org/10.1016/j.csda.2008.03.004 very poor] (the article documents several functions that produce incorrect results).  
'''Microsoft Excel is not recommended''': it cannot perform some of the calculations and plots that you will require in the course, and it's accuracy is [http://dx.doi.org/10.1016/j.csda.2008.03.004 very poor] (the article documents several functions that produce incorrect results).  


= About MATLAB =
{| class="wikitable"
 
|-
We should be familiar with MATLAB, based on previous courses.  MATLAB is available in the computer labs, and a student edition is also available for purchase at the bookstore, for $112.95, or on-line at http://mathworks.com
!
 
! MATLAB
= About Python =
! Python
 
|-
| '''About'''
|
You should be familiar with MATLAB, based on previous courses.  MATLAB is available in the computer labs, and a student edition is also available for purchase at the bookstore, for $112.95, or on-line at http://mathworks.com
|
You might not be familiar with Python.  Here is a comparison with MATLAB:
You might not be familiar with Python.  Here is a comparison with MATLAB:


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* There are excellent add-on libraries for almost anything related to data analysis
* There are excellent add-on libraries for almost anything related to data analysis
* It promotes good practice of writing a code file, and then running it (like MATLAB).  The code file documents what you have done, and you can always repeat your analysis on a new data set, or share the code with colleagues.  Other software packages tend to promote a more point-and-click approach, so you can't always retrace your steps.
* It promotes good practice of writing a code file, and then running it (like MATLAB).  The code file documents what you have done, and you can always repeat your analysis on a new data set, or share the code with colleagues.  Other software packages tend to promote a more point-and-click approach, so you can't always retrace your steps.
* There are multicore and 64-bit versions of Python available to process large data sets, and do parallel data processing
* There are multicore and 64-bit versions of Python available to process large data sets, and do parallel data processing.
 
= Python installation instructions (specific to this course) =
 
Here are some instructions for Windows-users that want to use Python for the course.   Linux and Mac users - Python is already installed with your operating system, however, please [[User:Kevindunn | speak to me]] and I can help you customize it, as required for this course.
 
Python is an [http://en.wikipedia.org/wiki/Open_source_software open source software].  Because of this, various groups have "packaged" the official Python distribution to meet certain needs.  For example:
* The official (reference) Python distribution: http://python.org
* Enthought Python distribution: http://www.enthought.com/epd
* IronPython: http://ironpython.net/
* JPython: http://www.jython.org/
 
However, for this course, we will use the Python version as distributed from http://www.pythonxy.com/, and called Python(X,Y).
 
{| class="wikitable"
|-
! ''Feature''ython
|-
| '''Official website '''
| http://code.google.com/p/pythonxy/
|-
| '''Latest version'''
| 2.6.5.3
|-
| '''Official download page'''
| [http://code.google.com/p/pythonxy/wiki/Downloads?tm=2 Link]
|-
|-
| '''''Faster''''' '''download link'''
| '''Installation'''
| [http://maccserver.mcmaster.ca/macc-downloads/pythonxy-2.6.5.3.exe From McMaster webserver] [455 Mb]
|
MATLAB is already installed on the university lab machines. If you have purchased the student version, then please follow the installation instructions that accompany it.
|
[[Python installation instructions]]
|}
|}
<ol>
<li> Run the software installation after downloading the installation file from the above link, run the program.
<li> The default installation options are perfect for this course. [[Image:Installing-pythonxy.jpg|frameless|center|600px]]
<li> It can take quite a while to install.
</ol>

Revision as of 16:26, 12 September 2010

You may use any software in the course to complete the assignments and labs. The official course software packages are either MATLAB or Python. Solutions to questions and class discussions will use either programming languange. Please note: the computer laboratories only have MATLAB installed.

Microsoft Excel is not recommended: it cannot perform some of the calculations and plots that you will require in the course, and it's accuracy is very poor (the article documents several functions that produce incorrect results).

MATLAB Python
About

You should be familiar with MATLAB, based on previous courses. MATLAB is available in the computer labs, and a student edition is also available for purchase at the bookstore, for $112.95, or on-line at http://mathworks.com

You might not be familiar with Python. Here is a comparison with MATLAB:

  • Many companies already use it as a standard package now
  • It can run on Windows, Linux and Mac computers (companies are increasingly using Mac and Linux platforms)
  • Commercial software support is available from 3rd parties
  • The software can be installed on a local desktop, or in a networked environment and run remotely
  • It is free (both for academic and commercial use), so it can used after you graduate
  • Installation is straightforward
  • The license is not restrictive: you can legally modify and improve the software
  • There are excellent add-on libraries for almost anything related to data analysis
  • It promotes good practice of writing a code file, and then running it (like MATLAB). The code file documents what you have done, and you can always repeat your analysis on a new data set, or share the code with colleagues. Other software packages tend to promote a more point-and-click approach, so you can't always retrace your steps.
  • There are multicore and 64-bit versions of Python available to process large data sets, and do parallel data processing.
Installation

MATLAB is already installed on the university lab machines. If you have purchased the student version, then please follow the installation instructions that accompany it.

Python installation instructions

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