Alternatively, we can split the 3D array into three 2D arrays, one for each colour channel. Note, this is different from above where we kept the entries as RGB vectors, where just two entries were 0.

How NumPy speeds array math in Python. A big part of NumPy’s speed comes from using machine-native datatypes, instead of Python’s object types.

Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science.