And then other people came along, using other languages, and realised we could do the same compute, with a fraction of the hardware, in about the same time, in the languages they’re already using, which really diminishes the appeal of Python, which boils down to:

“Setup some infra, and get someone who knows how to operate it, and then write new code in python, and babysit it as it ossifies into a core piece of infrastructure”

_or_ optimise it in a language you’re already using, or is semi-common in your stack already, and then move on with things.