I'm depressed after knowing this. R/Python is only 1-2GB, while Stata is only about 2-3GB. Even SAS is about half of that.
Matlab installation file now over 23GB
-
What can matlab do that c/c++ with linalg / math kernel library cannot?
^^ I once solved arbitrary conics intersection (which can give rise to up to 4 intersection points) using Eigen library in C/C++ seamlessly as part of my larger project. Can I do this in matlab?
-
astronomers not astrologists. oh ffs this forum is a joke now.
You're comparing a fully bloated version of Matlab (with packages for engineers, astronauts and astrologists) with a striped down version of R. Stata, I won't even go there.
Do you honestly think astronomers use Matlab? We used IDL in the bad old days, but for a long time already we use almost exclusively Python (of course heavy simulations are done with some compiled language).
However, Matlab is well-suited for astrology.
-
Which software do astrologists prefer?
astronomers not astrologists. oh ffs this forum is a joke now.
You're comparing a fully bloated version of Matlab (with packages for engineers, astronauts and astrologists) with a striped down version of R. Stata, I won't even go there.
-
The problem with Matlab is that its installation process is a mess, and sometimes useful functions are strewn across random toolboxes. So as an anticipatory measure you usually want to install a lot of toolboxes even if they’re not immediately necessary.
Compare to Python where you can install Anaconda once and get almost everything you might want, and then install a few more packages (perhaps even to their own environments so that you don’t contaminate the base environment) on an as-needed basis. Easier and also totally free.