Python is only fun for tiny projects. Once you reach 120k LOC in a project, refactoring in Python is an insanity even with PyCharm, and debugging becomes impossible, too.
Have you tried Kotlin?
Have you tried Kotlin?
Without a strict and static type system it becomes quite problematic to ensure new code keeps the API contract, unless you have unit codes for every possible value.
A good type system accelerates your coding speed, compared to writing equivalent unit tests, and it improves your quality, compared to no testing.
this is debatable
And compared to that, the type system is certainly faster.
Coding speed is least of my concern for a ML project, to be honest. And unit tests aren't useful either, since ML by large is not deterministic. A lot u said is true for web application, but didn't really apply for a ML project
Well considering this is a realistic scenario for fallible humans, it’s still decent advice to keep your exploratory projects in python small to avoid ridiculous tech debt. It’s not quite as bad as with ruby, but it’s close.
Many languages make it problematic to keep code actually bug-free and maintainable, and Python and especially Ruby are problematic for that, while Java and Kotlin, but even C++ (with a strict style guide) are a lot nicer to work with at scale.
If you want to keep consistent APIs between modules, strict types and checked exceptions are very helpful, while with python one typo can lead to accesses being lost — which is why so many use slots nowadays, and TypedPython, and annotations. But if I do that, I might as well use Java or Kotlin, and get a better IDE.
Compared to unit tests, strict and static types are faster, compared to no testing, static types are safer.