Fixed point is obsolete on the vast majority of compute devices today. It is only a reasonable alternative in ultra low power scenarios or on tech stacks that haven't migrated to modern architectures, like some DSPs (which are also really only applicable in ultra low power devices).
On modern CPUs, fixed point is slower and error prone (both in usage and the computations themselves) relative to floating point.
I don't think it's a pity that fixed point support is out the door. It sucks. Floats minus subnormals are the least surprising numerical representation out there, and the most versatile.
Do you really want to worry about whether your numbers are saturating or wrapping around? Keeping track of what your max/min are? Tracking decimal places? Implementing division by hand? Screw all that. Fixed point is awful and is essentially an academic exercise today.
On modern CPUs, fixed point is slower and error prone (both in usage and the computations themselves) relative to floating point.
I don't think it's a pity that fixed point support is out the door. It sucks. Floats minus subnormals are the least surprising numerical representation out there, and the most versatile.
Do you really want to worry about whether your numbers are saturating or wrapping around? Keeping track of what your max/min are? Tracking decimal places? Implementing division by hand? Screw all that. Fixed point is awful and is essentially an academic exercise today.