[GUFSC] Python for scientific use. Part I: Data Visualization (Linux Gazette)

[Rafael R Obelheiro]

----- Forwarded message from Mario Domenech Goulart <mario.goulart em gmail.com> -----

Date: Wed, 11 May 2005 18:55:44 +0000
From: Mario Domenech Goulart <mario.goulart em gmail.com>
Subject: [python-brasil] Python for scientific use. Part I: Data Visualization (Linux Gazette)
To: python-brasil em yahoogrupos.com.br


,----[ http://linuxgazette.net/114/andreasen.html ]
| A first step towards qualitative understanding and interpretation of
| scientific data is visualization of the data. Also, in order to reach a
| quantitative understanding, the data needs to be analyzed, e.g. by
| fitting a physical model to the data. The raw data may also require some
| initial processing in order to become useful, e.g. filtering, scaling,
| calibration etc.
| 
| Several open source programs for data analysis and visualization exist:
| gnuplot, grace, octave, R, and scigraphica. Each of these has its own
| pros and cons. However, it seems like you always end up using more than
| one program to cover all the different needs mentioned above, at least
| if you don't have the programming abilities to write your own custom
| programs using e.g., Fortran or C.
| 
| Recently, I came across Python and found it to be a very powerful
| tool. In this article, I would like to share my experience and
| illustrate that even with basic (or less) programming skills it is still
| possible to create some very useful applications for data analysis and
| visualization using this language. The article is centered around a few
| illustrative examples and covers the visualization part ??? data analysis
| will be covered in a future article.
`----

Mario


----- End forwarded message -----