[heavenlyblue]

Most of the time when a developer needs loop unrolling - numpy will work best anyway. Why does everyone always start mentioning this fact when performance is mentioned?

For example, in my case I always need high-performance code to work with strings loaded from loads of CSV files. That includes: merging strings, matching them, comparing them. Loop unrolling/SIMD would not really help here, while an ability to write safe, checked code fast - would.

On the other hand I do need the pythonic dynamics, so that's what I stick to.