Tagged: Matrices

NumPy's linear algebra object allows you to work with matrices and perform a wide variety of matrix and vector operations.

It is important to differentiate between views and copies when working with NumPy Arrays to ensure you don't accidentally overwrite data in a parent array.

Sub arrays are created using NumPy slice notation which is a powerful data manipulation technique.

This guide serves as an introduction to NumPy and covers array creation, sorting, and concatenation.