Python Object Oriented Programming

This Python OOP explains to you the Python object-oriented programming clearly so that you can apply it to develop software more effectively.

By the end of this Python OOP module, you’ll have good knowledge of object-oriented principles. And you’ll know how to use Python syntax to create reliable and robust software applications.

What you’ll learn:

• Create objects in Python by defining classes and methods.
• Extend classes using inheritance.
• SOLID principles in object-oriented programming.

Content

• Section 1. Classes and objects
  • Object Oriented Programming – introduce to you the important concepts in Python object-oriented programming
  • Class – learn how to define a class and create new objects from the class
  • Class variables – explain the class variables (or attributes)
  • Instance methods – guide you on instance methods and help you understand the differences between a function and a method.
  • init method – show you how to use the init method to initialize object’s attributes.
  • Instance variables – understand the instance variables.
  • Class methods - understand the class methods.
  • Private attributes – learn about private attributes and how to use them effectively.
  • Class attributes – understand class attributes and more importantly when you should use class attributes.
  • Static methods – explain to you static methods and shows you how to use them to group related functions in a class.
• Section 2. Special methods
  • str method – show you how to use the str dunder method to return the string representation of an object.
  • repr method – learn how to use the repr method and the main difference between str and repr methods.
  • eq method – learn how to define the equality logic for comparing objects by values.
  • bool method – guide you on how to determine whether a custom object is True or False using the bool method.
• Section 3. Property
  • Property – show you how to use the property class to create a property.
  • @property decorator – learn how to use the @property decorator to create a property.
  • Read-only property – learn how to define read-only properties and use them for computed properties
  • Delete a property – guide you on how to delete a property from an object.
• Section 4. Single inheritance
  • Inheritance – explain to you the inheritance concept and how to define a class that inherits from another class.
  • Overriding methods – show you how overriding methods work.
  • super – learn how to delegate to the methods of the parent class from a method in the child class
  • slots – use slots to make the class more memory efficient
  • Abstract class – learn what abstract classes are and how to define abstract classes
  • Protocol - use Python Protocol to define implicit interfaces.
• Section 5. Enumeration
  • Enumeration – show you how to define a enumeration in Python.
  • Enum Aliases & @enum.unique – introduce to you the enum aliases and how to use the enum.unique decorator to ensure the uniqueness of member values.
  • Customize and extend enumerations – learn how to customize the behaviors of enum classes and how to extend the a custom enum class.
  • auto – use the enum auto class to generate unique values for enumeration’s members.
• Section 7. Multiple inheritance
  • Multiple inheritance – learn how to implement multiple inheritance and understand how the method resolution order (MRO) works in Python.
  • Mixin – introduce to you the mixin concept and how to implement mixin in Python.
• Section 8. Descriptors
  • Descriptors – explain how descriptors work and how to use them to make the code reusable.
  • Data vs non-data descriptors – understand the differences between data and non-data descriptors.
• Section 9. Metaprogramming
  • new – learn how Python uses the new method to create a new instance of a class.
  • dataclass – leverage dataclass to add special methods such as init and repr to custom classes.