> but not everything in the world is glue code, and as soon as you need to do something O(n) on your dataset, you’re either paying an enormous performance penalty or you’re not writing that bit in Python.
And yet Python has one of the richest and most widely used scientific computing stacks. If writing performant code in a friendly language is all that important, then Julia stands as a more reasonable alternative than does some functional language.
And yet Python has one of the richest and most widely used scientific computing stacks. If writing performant code in a friendly language is all that important, then Julia stands as a more reasonable alternative than does some functional language.