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.
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.
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?
Frank Anemaet is a highly skilled Software Engineer having experience with nearly every programming language on Earth! He’s built projects using Python, PHP, Swift, C++, and more. He’s worked on Linux security, game development, data analysis, creating desktop apps, web apps, managing SQL, mobile development, and lots of other things. All of the skills that he’d learned have been tried and tested in a real-world setting, so Frank Anemaet is the one you can count on when it comes to searching for someone who can ground theory in his practical experience. Of course, you won’t be surprised that Frank has a Master’s degree in Computer Science (honors), and in 2014, he won the first prize competing internationally at a Security Competition (Massachusetts, USA).
Parts of his Frank’s extensive experience in technology have been turned into successful online courses on various online education platforms. There’s so much you can learn from someone who’s worked on projects in Robotics, Web/Desktop/Mobile apps, Embedded Systems, Linux Security, etc. to achieve your personal goals.
On BitDegree, Frank Anemaet is offering a bunch of his courses that will allow you to get solid skills in programming. Learn anything from how to secure a Linux server to gain an in-depth understanding of machine learning with Python, and much more. Most of Frank’s courses are quick, concise tutorials with the essential information that you must gather to get yourself going. Invest your time wisely, and learn only from great experts in their field! To your success!