Definitely not for learning bash. I keep a link to the Advanced Bash-Scripting Guide nearby for learning how to do stuff with bash.

-> free and open source code is less likely to be documented well, so there are more questions on s.o.
-> free and open source code is more likely to be used for projects which are free and open source, hence posted on github

To support these statements, I’d posit that Ada has an enormous code base, probably much bigger than Ruby, and has quite a following and active development.

The other confounder is that there is a large group of people who dislike s.o. with its childish badges, point system, and fascistic moderators. I don’t know anyone who dislikes GitHub, although I’m sure such people exist.

The formula for derivatives of exp(b x) suggested above also extends to fractional derivatives, but this time we require b > 0.

For sine and cosine, things are more complicated. The half derivatives of sine and cosine involve Fresnel integrals. The examples of powers of x and exp( b x) are atypical in that they have a simple form. In general, fractional derivatives involve hypergeometric functions if they can be computed at all.

[1] “How Accurate is inv(A)*b?”, Alex Druinsky, Sivan Toledo, Technical report, Tel-Aviv University, January 2012, http://arxiv.org/abs/1201.6035

It’s about how Ruby’s internal C representation of a String has a built-in switch that uses the same in-memory struct as the data source for both the simple storage mechanism and the complex storage mechanism. Really clever solution that reminds me more of mechanical engineering than programming.

@Colin: There are certainly issues, but I know the GitHub guys work hard to continually improve the language regular expression matching against their repos. Like most measurements, this one’s imperfect, but it generally passes the sniff test here.

This go around? .84.

And as for the suggestion above at looking for correlations with recruitment data, I’d love to explore that, but none of the sites I can find actually expose hard data, only graphs. If anyone has suggestions as to where that data is obtainable – or better, has that data themselves – please do get in touch.

It would be interesting to see how these metrics correlate in practice with statistics from recruitment websites.

Who’s going to pat you on the shoulder and say, “It’s ok, quitter. I understand you just needed to quit. Sometimes it’s just fine to give up–ya quitter.”

In Ultimate Frisbee we say “Chilli”, as in: “Play Chilli!” (or “chilly”, I have no idea how to spell it)

Then, reducing perceived complexity would not do much to reduce actual complexity, but could shift one’s mind to a C state (not shown on the graph).