Python Numpy Float Power Function Explained | np.float_power() | Python Numpy Tutorial

In this tutorial, we'll learn about the Python Numpy float power function. Also, let’s walk through some easy code examples to understand how the parameters of the float_power() function work. Introduction: Python Numpy Float Power Function We’ve learned about the simple Numpy power function. But in the numpy.float_power function, the calculation of element-wise power on the input array1(a1) elements raised to the power of corresponding array2(a2) items is performed by making use of the float power function. What it specifies is that the array1(a1) each element will be raised to the power specified by the array2(a2) corresponding element. So let's start with this tutorial. Python Numpy float power Function(text-based): https://machinelearningpy.com/numpy-float_power-python-numpy-function/ Python Numpy Power Function Tutorial: https://www.youtube.com/watch?v=fT1y3GVX2sY