Python’s NumPy is the most commonly used library for working with array/matrix data.
A matrix can be viewed as a 2-dimensional ‘grid’ of values, where the position of each value in the grid is given by a pair of values (i, j).
These values represent the row and column number of that value in the grid.
In this tutorial, we will understand how we can create such grids and work with them using the NumPy library in Python.

#python #numpy