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.

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 ...

Python 'lists' are more flexible than arrays as they can contain different data types and their length can vary in size. It is often convenient to use a list where you do not know what the data ...