| Treating Pythons As Objects |
You're probably tired of hearing me say it, but indulge me one more time - when it comes to object-oriented programming, very few languages have Python's capabilities.
This is primarily because Python was built from the ground up as an object-oriented language, and so provides built-in constructs that make it simple for developers to structure code for maximum reusability. Python's "dynamic typing", which automatically recognizes objects like numbers, strings and lists, and negates the need to declare variable types and sizes, offers an advantage not found in languages like C or Java, while automatic memory allocation and management, together with a vast array of pluggable libraries and high-level abstractions, complete the picture.
Over the course of this two-part article, I'm going to take an in-depth look at Python's OO capabilities, together with examples and explanations to demonstrate just how powerful it really is. I'll be covering most of the basics - classes, objects, attributes and methods - and a couple of the advanced concepts - constructors, destructors and inheritance. And if you're new to object-oriented programming, or just apprehensive about what lies ahead, don't worry - I promise this will be a lot easier than you think.
Let's get going!
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