150+ Exercises - Object Oriented Programming in Python - OOP

  • Course provided by Udemy
  • Study type: Online
  • Starts: Anytime
  • Price: See latest price on Udemy
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Course Description

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RECOMMENDED LEARNING PATH

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PYTHON DEVELOPER:

  • 200+ Exercises - Programming in Python - from A to Z

  • 210+ Exercises - Python Standard Libraries - from A to Z

  • 150+ Exercises - Object Oriented Programming in Python - OOP

  • 150+ Exercises - Data Structures in Python - Hands-On

  • 100+ Exercises - Advanced Python Programming

  • 100+ Exercises - Unit tests in Python - unittest framework

  • 100+ Exercises - Python Programming - Data Science - NumPy

  • 100+ Exercises - Python Programming - Data Science - Pandas

  • 100+ Exercises - Python - Data Science - scikit-learn

  • 250+ Exercises - Data Science Bootcamp in Python


SQL DEVELOPER:

  • SQL Bootcamp - Hands-On Exercises - SQLite - Part I

  • SQL Bootcamp - Hands-On Exercises - SQLite - Part II


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COURSE DESCRIPTION

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150+ Exercises - Object Oriented Programming in Python - OOP

Welcome to the course 150+ Exercises - Object Oriented Programming in Python - OOP, where you can test your Python programming skills in object-oriented programming (OOP) and complete over 150 exercises!


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!

Expected Outcomes

  1. solve 150+ exercises in Python object-oriented programming - OOP
  2. namespaces and scopes (local, enclosing, global, built-in)
  3. LEGB rule
  4. use of *args and **kwargs
  5. classes and objects
  6. visibility of variables (public, protected, private)
  7. class attributes
  8. instance attributes
  9. decorator @property
  10. computed attributes
  11. class method, decorator @classmethod
  12. static method, decorator @staticmethod
  13. special methods: __new__(), __init__(), __repr__(), __str__(), __len__() and many more
  14. single inheritance, multiple inheritance
  15. MRO - Method Resolution Order
  16. super()
  17. abstract classes
  18. the ABC class and the @abstractmethod decorator
  19. work with documentation and Stack Overflow
  20. guaranteed instructor support