Vectorization vs Looping in Python: Which is Better?

What are the main differences between vectorization and looping in Python?

Vectorization refers to operations on entire arrays or matrices at once, while looping processes elements one at a time.

Which method is generally faster for large datasets?

Vectorization is usually faster because it leverages optimized libraries like NumPy, reducing the overhead of Python loops.

Can you give me an example of vectorization in Python?

Sure! For instance, using NumPy, you can add two arrays like this: result = array1 + array2, which is vectorized.

Are there situations where looping is preferred?

Yes, looping can be more intuitive and necessary for complex operations that can't be easily vectorized.