I’m not a Python maximalist by any stretch, but it is clearly the winner in the current data transformation/analytics/ML world.
If you’re not a Python fan, then build these tools and APIs in other languages which are *easy to use*!
When another ecosystem can match this usability, with better performance or environment/dependency management, for sure the industry will follow. nostr:note1484qszf2cr806dg6c927te5m66p070rzjqcmlps96ew8aq964vcslnernv
Done is better than good in most cases. Do performant languages usually stand the test of time or more general languages?
Agree on the concept of “don’t let perfect be the enemy of good”.
However, in programming language development, there is at least some expectation of backwards compatibility. So I can respect a slower development pace in the core language / modules.
I respect that. If i had more experience im sure id feel the same. I know few elite devs that use python which could be random or could be indicative that python is a stepping stool.
