Choosing a style
This section will provide a summary of two coding styles or paradigms, which make use of different organizational principles and capabilities of Python. Whether you write your code in an object-orientated or functional style could just be an aesthetic choice. This choice, however, can also provide other benefits, such as code that is more aligned with the logical elements of your problem, code that is easier to understand, or even more performant code.
In the following sections, we will outline the main principles of each paradigm and allow you to choose for yourself based on your use case.
Object-Oriented Programming (OOP) is a style where the code is organized around, you guessed it, abstract objects with relevant attributes and data instead of around the logical flow of your solution. The subject of OOP is worth a book (or several books!) in itself, so we will focus on the key points that are relevant for our ML engineering journey.