Personally, I use Python a lot for anything related to data science. No language is perfect, but I'd say Python has a lot less deficiencies and warts than most other mainstream languages, and it's extremely well suited for tasks in data science and related fields such as machine learning.
The main issue with Python is that its default platform (CPython) isn't very efficient. That's not a problem in the language itself; in fact, it's partly caused by all the benefits of a high-level language: you simply don't have the same facilities to optimize your resource consumption as you do in, say, Rust.
The upside is of course that the code is far more concise and readable.
Personally, I use Python a lot for anything related to data science. No language is perfect, but I'd say Python has a lot less deficiencies and warts than most other mainstream languages, and it's extremely well suited for tasks in data science and related fields such as machine learning.
The main issue with Python is that its default platform (CPython) isn't very efficient. That's not a problem in the language itself; in fact, it's partly caused by all the benefits of a high-level language: you simply don't have the same facilities to optimize your resource consumption as you do in, say, Rust.
The upside is of course that the code is far more concise and readable.