A long time ago I was working on a data conversion project that involved taking what was essentially a 10 dimensional data set and reordering it. The easiest w

A long time ago I was working on a data conversion project that involved taking what was essentially a 10 dimensional data set and reordering it. The easiest way to achieve this was to load everything into a ten dimensional array and read it out in another order, but I was sure this would take too long. So I spent some time trying to get a sparse array implementation working until I finally sat down and worked out that the entire 10 dimension data structure would require 63 megabytes of RAM (not giga, this was a long time ago.) The Sparc server in the next room had 64 megs of RAM. It was a simple algorithm with quick results and I moved on to the next problem. I think that was the last time I really really cared about performance. I'd spent the previous 15 years getting closer and closer to the hardware, caring about every register and every byte. I've spent the 15 years since then on the slow slide to letting the computer worry about everything. I currently live in Python land and love every minute of it. I hear that string concatenation is slow but honestly, it's never been an issue for me. Computers really are fast.