o find the sum of all elements in a Numpy array named arr, you would use the function _____(arr).

To find the sum of all elements in a Numpy array in Python, you would use the function numpy.sum(arr). Here’s a brief breakdown of this function:

1. Function Purpose: The numpy.sum() function is designed specifically to compute the sum of array elements over a specified axis. When no axis is specified, it sums all the elements of the entire array.

2. Syntax: The basic syntax is as follows:

   numpy.sum(arr, axis=None, dtype=None, out=None)
   

   • arr : input array.
   • axis : the axis along which the sum is computed; if none is provided, the sum is calculated over the flattened array.
   • dtype : used to specify the data type for the result, if you want it different from the input.
   • out : if provided, the results will be stored in this array.

3. Example Usage:

   import numpy as np
   
   arr = np.array([1, 2, 3, 4])
   total_sum = np.sum(arr)
   print(total_sum)  # Output: 10
   

Overall, using numpy.sum(arr) will efficiently compute the sum of all numbers in the specified array, making it a fundamental function in numerical computations with Numpy.