Advanced oop with Python. beyond the basics

Target audience

Students who especially benefit from this course:

Python developers who learned the basics of OOP and want a deeper dive into the mechanics of OOP in Python
developers who bring experience from another OO programming language and want to learn how to use OOP in Python
self-taught OOP developers who want to improve their skills by learning best practices

Classes and Objects: Class instantiation, self, data attributes, UML, methods, __str__, __repr__, constructor
Inheritance: Inherit, extend and override methods, access to base class via super, abstract base class
OOP in a dynamic language: Dynamically typing, Static type checking, overloading
Polymorphism: Open-closed principle, type equality, interfaces and protocols
Encapsulation: Attribute visibility. name mangling, properties
Classes in Python: Class as object, class variables, class and static methods

make better decisions when and how to use OOP features in your code
create more efficient classes by integrating Python’s built-in language features
embrace the dynamic character of Python by using structural type checking