Here’s only 2 (out of many examples I’ll provide):
ML applications: Python
Biosciences and Genomics: R
If I had a Genomics ML problem, I would def not be using python. Just as if I had a marketing application, I would not use R.
No language is better, they’re designed for specific problems to solve. It’s up to you to choose the right tools for the job. If you’re sawing wood you don’t beat it until it breaks with a hammer — that’s how stupid this “which language is better argument” sounds."