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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.