As opposed to one-dimensional arrays used by vectors, we can represent a matrix in Python using a multi-dimensional NumPy array. A NumPy array can be constructed given a list of lists.

Using NumPy for array and matrix math in Python Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.

Vectors and Matrices are created as instances of a numpy array. We can think of a 1D NumPy array as a list of numbers (or row- vector), and a 2D number array as a matrix.

As opposed to one-dimensional arrays used by vectors, we can represent a matrix in Python using a multi-dimensional NumPy array. A NumPy array can be constructed given a list of lists.

We use matplotlib for plotting in python. We also have to convert SymPy matrices to NumPy arrays prior to plotting. Therefore, we prefer to define vectors as NumPy arrays if we intend to just plot ...