Difference between revisions of "Course software"
(Created page with "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 t...") |
m |
||
| Line 3: | Line 3: | ||
'''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 = | |||
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 | |||
= About Python = | = About Python = | ||
| Line 9: | Line 12: | ||
* Many companies already use it as a standard package now | * Many companies already use it as a standard package now | ||
* It can run on Windows, Linux and Mac computers ( | * 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 | * 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 | * The software can be installed on a local desktop, or in a networked environment and run remotely | ||
| Line 19: | Line 22: | ||
* 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 - please [[User:Kevindunn | speak to me]] and I can help you | 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. | ||
Revision as of 22:15, 10 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).
About MATLAB
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
About Python
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
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 speak to me and I can help you customize it, as required for this course.