Part I: Matrices_Part_1.ipynb: the notebook provides Python code snippets that exercise matrix properties: matrix addition, scalar multiplication, matrix multiplication, and the identity matrix. Part ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

We compare the execution time of various methods written in pure python and Numpy. We see that initially, when the data is small, ie when the matrix has fewer elements Python performs nearly as well ...