Python is strongly typed, it’s just not statically typed. Python with consistent type hinting is extremely similar to a statically typed language like C#.
I would argue that without consistent and enforced type hinting, dynamically typed languages offer very little benefit from type-checking at runtime. And with consistent, enforced type hinting, they might as well be considered actual statically typed languages.
Don’t get me wrong, that’s a good thing. Properly configured Python development environments basically give you both, even if I’m not a fan of the syntax.
What’s wrong with the syntax? It’s just var_name:Type= value, it’s very similar to Go or Rust. Things get a little wonky with generics (list[Type] or dict[Type]), but it’s still similar to other languages.
One nice thing about it being runtime checked is you can accept union types, deffunc(param: int | float), which isn’t very common in statically typed languages.
Python is strongly typed, it’s just not statically typed. Python with consistent type hinting is extremely similar to a statically typed language like C#.
I would argue that without consistent and enforced type hinting, dynamically typed languages offer very little benefit from type-checking at runtime. And with consistent, enforced type hinting, they might as well be considered actual statically typed languages.
Don’t get me wrong, that’s a good thing. Properly configured Python development environments basically give you both, even if I’m not a fan of the syntax.
What’s wrong with the syntax? It’s just
var_name: Type = value, it’s very similar to Go or Rust. Things get a little wonky with generics (list[Type]ordict[Type]), but it’s still similar to other languages.One nice thing about it being runtime checked is you can accept union types,
def func(param: int | float), which isn’t very common in statically typed languages.