When should I use vectorization?

What is vectorization and when should I use it?

Vectorization is the process of converting operations to work on entire arrays or vectors instead of individual elements. You should use it when you want to improve performance, especially in numerical computations.

Can you give me an example of vectorization in Python?

Sure! In Python, using NumPy, you can add two arrays element-wise without a loop, like this: result = array1 + array2. This is much faster than using a for loop.

Are there any downsides to using vectorization?

Yes, vectorization can lead to higher memory usage, and it may not always be the best choice for small datasets due to overhead.

When is it better to use loops instead of vectorization?

Loops might be better for complex operations that can't be easily vectorized or when working with small datasets where the overhead of vectorization outweighs its benefits.