Being the lead on a data science team I am one of those. They're great for exploratory research and prototyping, and for use in the very tiny fraction of code i

Being the lead on a data science team I am one of those. They're great for exploratory research and prototyping, and for use in the very tiny fraction of code in a production system that deals with machine learning if I must. For everything else, from the data pipeline to delivering results, I'd prefer and recommend something else, like Haskell, C++, go or Rust.