People in the Numpy/ML user camp are like this, but in general usage the computationally expensive parts of Python code are heterogenous application code writte

People in the Numpy/ML user camp are like this, but in general usage the computationally expensive parts of Python code are heterogenous application code written with Python dicts, lists, etc that could be run much faster (as evidenced by JS).