but its performance is hidebound by the time it takes for Python to create a list, and for NumPy to convert that list into an array. By contrast, we can do the same thing far more efficiently ...

"- The elements in a **``NumPy array``** are all required to be of ``the same data type``, and thus will be the ``same size in memory``. The exception: one can have arrays of (Python, including NumPy) ...