Avoid using traditional Python loops (e.g., for loops) to iterate over NumPy arrays element-wise. These loops can be inefficient and slow, especially for large arrays.

One common mistake is modifying a NumPy array within a loop without realizing that it's modifying the original array and not a copy. This can lead to unexpected behavior and errors.