This kind of think is really only interesting for shell piping in bash. It
won’t help numerical, tensor, neural, simulation, nor business codes. Good
FORTRAN environments can do hard numerical faster. To a lesser amount, so can
C. In supercomputing, that advantage is reduced. I/O bandwidth
Is there a performance benefit (or detriment) to creating partial functions?
Other than the potential reduction of complexity, is there a difference between
using partial & comp and defining new functions?
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