The Complete Course in Object-Oriented Programming in Python

Master object-oriented programming in Python from basics to SOLID design principles.

Before we start let me tell you that:

• You can access the complete course easily using the following list.

Introduction

Hi everyone and you are welcome to my second course, The Complete Course in Object-Oriented Programming in Python.

If you are a beginner and you do not know a lot about Python programming language, do not worry here you can find all what you need to learn about Python from zero to hero.

But if you are at an intermediate or advanced level in Python, my first advice to you is to start learning object-oriented programming because it’s a great way to write clean, organized, and maintainable code.

Now, let us answer the following questions:

1. What is OOP?
2. Why OOP is important?
3. Who is this course for?

1. What is OOP?

Simply OOP is just a programming style where developers can create complex data types by combining two things:

• Data properties that describe the new type.
• Functions that process these properties.

In other words, OOP gives developers the flexibility to create new data types by connecting the data and the functions that process this data.

OOP aims to bind together the data and the functions that operate on them so that no other part of the code can access this data except the class functions.

2. Why OOP is important?

• OOP style focuses on creating reusable code patterns: because in OOP we create our data types once and then we are using them again and again. In this case, you can save a lot of time because you are reusing the same code.
• OOP programs are easy to be maintained: since your code becomes reusable, you have to write fewer lines of code which in turn reduces the maintenance time.
• OOP increases developer’s productivity: OOP allows programmers to easily represent real-world entities in computer programs. Therefore, OOP makes the process of translating our problems into software solutions much simpler. When you combine all these advantages, you will see that your productivity as a developer becomes much better over time.

3. Who is this course for?

If you are:

• A Python developer who wants to leverage up his skills in Python.
• An employee who wants to pursue a career in artificial intelligence, machine learning, data science, or back-end web development.

This course has been perfectly designed for you and it has been packed with little-known tips, best practices to apply, and common mistakes to avoid.

This course is split into four main sections:

• OOP Basics
• Special Methods (Dunder Methods) in Python OOP
• Classes Relationships
• SOLID Design Principles

So what are you waiting for? Join me in this course and let us start the exciting learning journey.

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To move on to the next article, you can use the following link:

Part 1: OOP Basics Overview

Course Index (The article link will be active once it is published):

Section 1: OOP Basics

Part 1: OOP Basics Overview

Part 2: Introduction to OOP

Part 3: Introduction to Classes and Objects

Part 4: Instance Attributes and Instance Methods

Part 5: Class Attributes and Class Methods

Part 6: Static Methods

Part 7: Property in Python

Part 8: Abstraction and Encapsulation

Part 9: Shallow Copy and Deep Copy

Part 10: OOP Basics Conclusion

Section 2: Special Methods (Dunder Methods) in Python OOP

Part 11: Special Methods Overview

Part 12: Introduction to the Special Methods

Part 13: Initialization and Construction Special Methods

Part 14: Operators Special Methods

Part 15: Class Representation Special Methods

Part 16: Type Conversion Special Methods

Part 17: Attributes Special Methods

Part 18: Sequences Special Methods

Part 19: Context Managers Special Methods

Part 20: Callable Objects

Part 21: Special Methods (Dunder Methods) in Python OOP Conclusion

Section 3: Classes Relationships (Inheritance)

Part 22: Classes Relationships (Inheritance) Overview

Part 23: Classes Relationships Types

Part 24: Introduction to the Inheritance Relationship

Part 25: Single Inheritance Relationship

Part 26: Multilevel Inheritance Relationship

Part 27: Multiple Inheritance Relationship

Part 28: Hierarchical Inheritance Relationship

Part 29: Public Access Modifiers

Part 30: Protected Access Modifiers

Part 31: Private Access Modifiers

Part 32: Methods Resolution Order

Part 33: Name Mangling

Part 34: Abstract Classes and Abstract Methods

Part 35: Introduction to the Association Relationship

Part 36: Composition Relationship

Part 37: Aggregation Relationship

Part 38: Introduction to Class Diagram

Part 39: Classes Relationships (Inheritance) Conclusion

Section 4: SOLID Design Principles

Part 40: SOLID Design Principles Overview

Part 41: Introduction to SOLID Design Principles

Part 42: Single Responsibility Principle (SRP)

Part 43: Open-Closed Principle (OCP)

Part 44: Liskov Substitution Principle (LSP)

Part 45: Interface Segregation Principle (ISP)

Part 46: Dependency Inversion Principle (DIP)

Part 47: SOLID Design Principles Conclusion