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element-wise multiplication in numpy refers to the operation of multiplying corresponding elements of two arrays together. this means that the element at index `i` in one array will be multiplied with the element at the same index `i` in the other array. this operation is also known as hadamard product.

here is a step-by-step tutorial on how to perform element-wise multiplication in python using numpy:

1. import the numpy library:


2. create two numpy arrays that you want to multiply element-wise:


3. perform element-wise multiplication using the `*` operator:


4. print the result:


putting it all together, here is the complete code example:



when you run this code, you will see the result of the element-wise multiplication of the two arrays:


this shows that 1 * 5 = 5, 2 * 6 = 12, 3 * 7 = 21, and 4 * 8 = 32.

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