What is the difference between NumPy broadcasting and repeating?

Can you explain the difference between NumPy broadcasting and repeating?

Sure! NumPy broadcasting allows you to perform operations on arrays of different shapes without explicitly copying data, while repeating involves creating a new array by repeating the elements of an existing array.

Can you give me an example of broadcasting?

Absolutely! If you have a 1D array of shape (3,) and a 2D array of shape (3, 4), broadcasting allows you to add the 1D array to each row of the 2D array.

What about repeating? How does that work?

Repeating can be done using the np.repeat() function. For example, if you have an array [1, 2, 3] and you want to repeat each element twice, you'd get [1, 1, 2, 2, 3, 3].

When should I use broadcasting instead of repeating?

Use broadcasting when you want to perform operations without creating large copies of data, as it is more memory efficient. Repeating is useful when you need a specific structure or size for your data.