Learn how to create, index, slice, reshape, and perform arithmetic operations on arrays using NumPy, the most popular Python library for data science.

Arrays in Python, often created with the NumPy library, are homogeneous, meaning they store elements of the same data type. This homogeneity allows for efficient memory usage and computational ...

About ou need to create a Python function named calculate () in a file called mean_var_std.py. This function processes a list of 9 numerical values, converts it into a 3x3 NumPy array, and calculates ...