1
2011-12-16
Blog: Moving from IDL
Please enter your text here.
In a blog post at scicoder, Demitri Muna has offered to provide, in the scicoder website, answers to specific questions that fall under the broad category:
"What would it take to move you away from IDL?"
The following is extracted from the scicoder blog post:
I'd like to hear from you what the core things you do in IDL are (please be ...
1
2011-10-01
Resource: lineid_plot
Description: Line identification plots with automatic label layout
Homepage URL: http://packages.python.org/lineid_plot/
This module has functions for automatically placing labels in a plot in such a way that the labels do not overlap with each other. This is very useful, for example, in creating plots that have labels identifying features in a spectrum.
This Python module is an adaptation of the IDL module lineid_plot.pro ...
2011-05-23
Tutorial: Practical Python for Astronomers
Practical Python for Astronomers is a series of hands-on workshops to explore the Python language and the powerful analysis tools it provides. The emphasis is on using Python to solve real-world problems that astronomers are likely to encounter in research.
The workshops immediately make use of the full suite of plotting, analysis, and file reading tools. Along the way elements of the Python language such as data types ...
1
2011-05-23
Resource: python4astronomers
Description: Practical Python for Astronomers
Homepage URL: http://python4astronomers.github.com/
Practical Python for Astronomers is a series of hands-on workshops to explore the Python language and the powerful analysis tools it provides. The emphasis is on using Python to solve real-world problems that astronomers are likely to encounter in research.
The workshops immediately make use of the full suite of plotting, analysis, and file reading tools. Along ...
2011-01-10
Resource: mathesaurus
Description: Converting from IDL, Matlab, and R to NumPy
Homepage URL: http://mathesaurus.sourceforge.net/
"Mathesaurus" provides a quick reference for switching to open-source mathematical computation environments for computer algebra, numeric processing and data visualisation. The following conversion guides are available:
- NumPy for Matlab users (HTML)
- R for Matlab users (HTML)
- Numpy for Numeric users (HTML)
- Numpy for R users (HTML)
- NumPy for IDL users (HTML)
- Matlab—Python ...
