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. But what ...

so they aren’t constrained by Python’s limitations. NumPy provides a specialized array type that is optimized to work with machine-native numerical types such as integers or floats.

and also slicing off sections of an array. Similar to selecting an element from a python list, we use the bracket notation to select an element from an array at a given index.