Not only data science libraries, there is a library for about anything. Which is not the case for your list of languages.
Java has an excellent ecosystem for libraries. And a much more mature one in most cases than Python. The Spring framework alone is simply amazing.
Go’s ecosystem is pretty good as well and getting better.
When you understand how python works, it’s quite simple to use too, and has lot less clutter than say java or c#.
The problem is that many python devs consider things like “type hints” and “classes” to be “clutter”. It takes a lot of discipline to write managable python. Being “newb friendly” is a curse. “stringly typed” crap does NOT scale well.
Not only data science libraries, there is a library for about anything. Which is not the case for your list of languages.
Edit: not all languages in the list.
When you understand how python works, it’s quite simple to use too, and has lot less clutter than say java or c#.
Java has an excellent ecosystem for libraries. And a much more mature one in most cases than Python. The Spring framework alone is simply amazing.
Go’s ecosystem is pretty good as well and getting better.
The problem is that many python devs consider things like “type hints” and “classes” to be “clutter”. It takes a lot of discipline to write managable python. Being “newb friendly” is a curse. “stringly typed” crap does NOT scale well.