In Python, NumPy allows for efficient manipulation of arrays through its extensive library of functions. 📊 You can perform various operations such as array slicing, reshaping, element-wise ...

It is possible to use generic Python objects as the dtype for a NumPy array, but if you do this, you’ll get no better performance with NumPy than you would with Python generally.

He wants your help in finding out the minimum number of operations required such that the maximum element of the resulting array is B. If it is not possible, then return -1. Problem Constraints 1 <= ...