IDL for astronomers

I found an interesting blog entry that summarizes the basics of IDL for scientists. I personally think that IDL is much superior, regarding its resources for data analysis and plotting, than programs like Supermongo, Xmgrace (and its flavors), gnuplot and even Origin. The shortcoming is that IDL is not free and quite expensive, but you get what you pay for. I am curious though to learn how Python, supplemented with additional libraries, compares to IDL in this respect.

If you want to learn more about IDL, google for "idl tutorials" and check this guide of IDL for astronomers. The documentation (tutorials) included with IDL are also a nice way to start learning.

In addition, there are some pretty useful IDL libraries for astronomy that I listed.

Nota: a partir de agora vou passar a escrever alguns dos meus posts em inglês. Assim, algumas das informações compartilhadas neste blog poderão ser de utilidade a uma comunidade mais ampla.