Looking at all the most popular coding languages, you will notice most of them (including but not limited to Java, PHP, Python, C#, C++, and JavaScript) support object-oriented programming (OOP). To put it simply, it is a paradigm that relies on objects and classes instead of procedures. Due to a ton of reusable components, it helps the developer save a bunch of time and be more productive in their daily work.
In this Python OOP tutorial, we will look at how object-oriented programming works in Python. Having a Master’s degree in Computer Science and years of experience, I will explain all you need to know to be able to work with OOP languages without breaking a sweat.
Out of all the OOP supporting languages – why Python?
Why did I decide to create a Python OOP tutorial and not a, say, Java OOP tutorial? Well, according to the TIOBE index, Python is currently the third most popular coding language in the world. It’s also the one that has experienced the most impressive growth, doubling in popularity in recent years.
The reasons are simple: Python is a general-purpose language that is mostly used in web development. Nowadays, Internet presence is key for any business, as well as most individuals. In addition to that, Python has a clean and very readable syntax, and the code itself is very compact.
Chances are, you already have some basics in Python. However, it’s always good to deepen your knowledge of how the components of a coding language work and what are the pros and cons of this particular coding paradigm.
Why should you choose this Python OOP tutorial?
In my Python object-oriented programming tutorial, I’m going to explain how the concepts of object-oriented programming work in Python scripts. We will start with the fundamentals: objects and classes. In Python, basically everything is an object, and a class is used as an object constructor. In other words, objects are instances of the classes that have unique names. The main concept of the object depends on the class – however, each object has its own properties (attributes) and methods (behaviors that can be shared).
Feeling confused? Don’t worry. In this Python OOP tutorial, we will cover each topic carefully, as there are the fundamentals of object-oriented programming in most programming languages. As soon as we’re done with those, we’ll move to some more complex concepts, such as inheritance, object serialization, and method overloading.
Another reason to choose this Python object-oriented programming tutorial, in particular, is multiple approaches to learning. Next to almost a full hour of video clips and practical demonstrations, you will receive textual notes for every lecture. Reading them will help you make sure you don’t skip any critical material. I’d also recommend you to put them all together at the end of the Python OOP tutorial – the set of notes will also make a great cheat sheet for you to refer to in the future!
What do you say – shall we begin?
