[cwalv]

> Although I will concede that naive approach to both of those is sub-optimal.

Paradoxically, this can actually lead to a better understanding of how to write performant code. When I first learned some of the be implementation details of python, I couldn't believe it was performant enough to work for anything ... after optimizing enough of it, I understand better what actually matters

[VectorLock]

Also people seem to forget the rule of premature optimization. Worry about performance when performance starts to be a problem. You identify the area with performance is lacking and optimize that. Compute is cheap, manpower is expensive.