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From Profiling Ruby to Frankenstein Programming

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Ruby is ‘known to be slow’ – but what does that exactly mean, does it really matter, and – more importantly – what can we do about this? This presentation, based on hands-on experience of using Ruby for scientific computations, shows how to profile Ruby applications (including webapps), how to interpret the results and what to do with the bottlenecks – from algorithmic optimisation through using dedicated libraries to rewriting them (in place!) in ‘faster’ languages.

Scottish Ruby Conference 2011

Here are the 5k times, for a fairly brutal course - 211m / 694 ft total climb: Name Number Time Julian Barrable 168 21m 4s Lukas 157 23m Donald 155 23m 4s Joe Roberts 164 24m 31s Karl Oakes 165 25m…