Review: Scientific Linux 7.0 GNOME

It has been a while since I have done a review (almost 3 months, in fact). It has been significantly longer since I have looked at Scientific Linux (over 3 years, in fact). Given that, I figured it might be worthwhile to make this review about Scientific Linux 7.0. I'm just glad that I did it before the time elapsed for something else to come up (around 3 minutes, in fact — OK, I just made that one up to match the other statements).

Main Screen

For those who aren't familiar or don't remember, Scientific Linux is a derivative of Red Hat Enterprise Linux which is meant to make installation of scientific computing software easier (though such software may not necessarily be included right away). That said, a lot has changed in the last 3 years. Most notably, CentOS, the "community version of Red Hat Enterprise Linux" (I realize there may be some technical distinctions but I won't go into them), has now come under the purview of Red Hat. This means Scientific Linux's role could have the potential to shift a bit in the near future (or it might not, who knows). Even with that aside, there are 3 years of software changes to look at in Scientific Linux, so I'm doing that now. I tried it by writing the live DVD ISO file to my USB drive using UnetBootin. Follow the jump to see what it's like.

Trying out Julia

This is a fairly quick post, though I previously considered making it longer and more trollish. A handful of my friends have told me about Julia, the amazing programming language made for numerical computations and other scientific computing uses. For the 14.15 — Networks final project this past semester, one of my group partners used Julia to simulate large ensembles of 10000-node random networks, and it worked far quicker than MATLAB. I vowed to get a bit more familiar with Julia (the programming language, not a woman [yet]) this summer. It was actually pretty quick to get used to, considering its syntactical similarities to MATLAB, to which I am more accustomed. I was even able to use it to port over the MATLAB code used for data analysis in 8.13/8.14 — Experimental Physics I/II to Julia. The only issue that I have consistently run into has been plotting. For some reason, the plotting packages that interface with Julia do not work in the ways that I want: Winston is too basic, Gadfly doesn't work at all (which is unfortunate because it has all the features I need and more), and Gaston being a frontend for Gnuplot while having to deal with the quirks of Julia's plot execution order means that I might as well use Gnuplot itself. Indeed, that is what I've done: I've been able to write Gnuplot scripts to plot processed data that Julia outputs into a file. Although Gnuplot's syntax is a little arcane, it is so powerful that I'm OK with using it from a script of commands and changing only a few things here and there as needed. Other than that, Julia works like a charm; its speed is fantastic, and I really like how much structure it brings compared to MATLAB (including things like types and indexing). Plus, it combines the great features of both procedural and functional programming. Given that course 18 has largely switched over to Julia, I wonder when course 8 will do the same....