Python Object-Oriented Programming (OOP) (original) (raw)

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 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
__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 #

Exceptions – learn about exceptions in the context of objects
Exception Handling – guide you on how to handle exceptions in the right way using the try statement.
Raise Exceptions – show you how to use the raise statement to raise exceptions.
Raise Exception from cause – learn how to modify and forward an existing exception with a cause.
Custom exceptions – walk you through the steps of creating a custom exception class.

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