solve 150+ exercises in Python object-oriented programming – OOP
namespaces and scopes (local, enclosing, global, built-in)
LEGB rule
use of *args and **kwargs
classes and objects
visibility of variables (public, protected, private)
class attributes
instance attributes
decorator @property
computed attributes
class method, decorator @classmethod
static method, decorator @staticmethod
special methods: __new__(), __init__(), __repr__(), __str__(), __len__() and many more
single inheritance, multiple inheritance
MRO – Method Resolution Order
super()
abstract classes
the ABC class and the @abstractmethod decorator
work with documentation and Stack Overflow
guaranteed instructor support
Welcome to the 150+ Exercises – Object Oriented Programming in Python – OOP course, where you can test your Python programming skills in object-oriented programming (OOP) and complete over 150 exercises! Python is a programming language that lets you work quickly and integrate systems more effectively. Python can be easy to pick up whether you’re a first time programmer or you’re experienced with other languages.
Some topics you will find in the exercises:
- namespaces and scopes
- LEGB rule
- *args and **kwargs
- class attributes
- instance attributes
- the __init__() method
- visibility of variables/attributes
- encapsulation
- computed attributes
- class method – decorator @classmethod
- static method – decorator @staticmethod
- special methods, __new__(), __init__(), __repr__(), __str__(), __len__() and many more
- inheritance, single inheritance, multiple inheritance
- MRO – Method Resolution Order
- super()
- abstract classes, the ABC class and the @abstractmethod decorator
The course is designed for people who have basic knowledge in Python and OOP concepts. It consists of over 150 exercises with solutions. This course is focused on practical learning. This is a great test for people who are learning the Python language and OOP and are looking for new challenges. Exercises are also a good test before the interview. Many popular topics were covered in this course.
If you’re wondering if it’s worth taking a step towards Python, don’t hesitate any longer and take the challenge today!
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