You can create arrays from existing Python lists or tuples, or use NumPy functions to generate arrays with specific values or patterns. For example, you can use np.array() to convert a list into ...

For regular Python lists, this is a real pain. For 2D numpy arrays, however, it's pretty intuitive! The indexes before the comma refer to the rows, while those after the comma refer to the columns.

For 2D numpy arrays, however, it's pretty intuitive! The indexes before the comma refer to the rows, while those after the comma refer to the columns. The : is for slicing; in this example, it tells ...