Cubing of a Vector using NumPy

NumPy provides a wide range of functions and tools to perform various mathematical operations on arrays and matrices efficiently. One of the most common operations is exponentiation, which is the process of raising a number to a given power. In this article, we will explore how to compute the cubic power of a large vector using two different NumPy methods.

If you want to compute the square of a vector (large or small), you can check out this article.

1. Using the “** operator”:

This code generates a random vector of length 100000000 using NumPy’s random.rand() function. Then, it raises each element of the vector to the power of 3 using the ** operator. Finally, it displays the first five elements of the resulting vector.

2. Using the “np.multiply()” function with the same array:

This code creates a NumPy array “Z” of length 1000000 with random values between 0 and 1. It then raises each element of “Z” to the power of 3 using the multiply() function, which is equivalent to using the ** operator. Finally, it stores the result in a new array “Z_cubed” and prints out the first five elements of this array.

  • This method involves two calls to the multiply function and may be slower for very large vectors.
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