How can vectorization improve performance in my code?

How can vectorization improve performance in my code?

Vectorization allows you to perform operations on entire arrays or matrices at once, rather than using loops, which can significantly speed up computations.

Can you give me an example of vectorization in Python?

Sure! Instead of using a loop to add two lists element-wise, you can use NumPy's array addition: np.array(a) + np.array(b).

What are the limitations of vectorization?

Vectorization can consume more memory and may not be suitable for all algorithms, especially those that require conditional logic.

How do I know if my code can be vectorized?

Look for loops that perform the same operation on each element of an array or matrix; these are often good candidates for vectorization.