Python OOP

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Python OOP

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.

Who this tutorial is for?

If you’re new to object-oriented programming, or if you have basic Python skills and wish to learn in-depth how and when to correctly apply OOP in Python, this is the tutorial for you.

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__()– show you how to use the __init__ method to initialize object’s attributes.
  • Instance variables – understand the instance variables.
  • 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.
  • __hash__ method – show you how to make a class hashable using the __has__ method.
  • __bool__ method – guide you on how to determine whether a custom object is True or False using the __bool__ method.
  • __del__ method – understand how the __del__ method works.

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.

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 6. SOLID principles

This section introduces you to the SOLID principles of object-oriented programming. These five design principles make your software designs more maintainable and flexible.

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

Section 9. Metaprogramming

  • __new__ – learn how Python uses the __new__ method to create a new instance of a class.
  • type class – show you how to dynamically create a class using the type class.
  • Metaclass – explain the metaclass and show you how to define a custom metaclass to create other classes.
  • Metaclass example – show you a metaclass example that allows you to inject many functionalities into classes.
  • dataclass – leverage dataclass to add special methods such as __init__ and __repr__ to custom classes.

Section 10. Exceptions

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