Strangely, python is the choice for heaps of (data and other) scientists, mainly as it's so easy to pick up and tooling (jupyter) - remember that these people a

Strangely, python is the choice for heaps of (data and other) scientists, mainly as it's so easy to pick up and tooling (jupyter) - remember that these people aren't native coders. And even then parallelism is handled behind the scenes with libraries such as scipy and numpy. I think the problems come up when you have a high performance application that doesn't play nice with numpy or scipy