350+ Exercises – Python Programming Mega Pack – OOP – 2022

Mega Pack – Improve your Python programming & Object Oriented Programming skills and solve over 350 exercises!

solve over 350 exercises in Python and Object Oriented Programming (OOP)

deal with real programming problems

work with documentation

guaranteed instructor support

Welcome to the 350+ Exercises – Python Programming Mega Pack – OOP course where you can test your Python & Object Oriented Programming skills.

Topics you will find in the basic exercises:

  • print() function
  • calculations in Python
  • slicing
  • strings, and str methods
  • data types
  • data structures: set. tuple, list, dict
  • program flow control
  • if statement
  • for loops
  • break statement
  • continue statement
  • while loops
  • exception handling
  • input/output
  • reading files
  • saving to files
  • built-in functions
  • defining your own functions
  • anonymous functions – lambda expression
  • generators
  • set comprehension
  • list comprehension
  • dict comprehension
  • built-in modules

Topics you will find in the Object Oriented Programming 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

This course is designed for people who have basic knowledge in Python and OOP concepts. It consists of 350 exercises with solutions. This is a great test for people who are learning the Python language and Object Oriented Programming and are looking for new challenges. Exercises are also a good test before the interview.

If you’re wondering if it’s worth taking a step towards Python and OOP, don’t hesitate any longer and take the challenge today.

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