My understanding is that ML is largely driven by academics, not professional programmers, and as a result, they tend to gravitate to easy to understand language

My understanding is that ML is largely driven by academics, not professional programmers, and as a result, they tend to gravitate to easy to understand languages like Python. A similar thing seems to have happened with Data Science, Statistics etc.