There are so many probabilistic programming languages that it is hard to choose one. Because it is so hard to choose one, a probabilistic programmer has two options:

• invent a new probabilistic programming language, or
• write probabilistic programs in a regular programming language.

The former choice is easier to make, that’s why there are so many different probabilistic programming languages. But writing programs is so much easier in a regular language, and programs in regular languages can do many useful things. Any modern general-purpose programming language is suitable for probabilistic programming. Take Go, for example.