Learn what object-oriented programming (OOP) is, how it differs from procedural programming, and how it can be applied. You'll define your own custom classes containing methods, attributes, and constructors, and use them to create objects!

What is OOP?

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OOP terminology

Exploring objects and classes

Class anatomy: attributes and methods

Program

Understanding class definitions

Create your first class

Adding methods and attributes

Extending a class

Class anatomy: the __init__ constructor

Correct use of __init__

Add a class constructor

Building a class from scratch

OOP Fundamentals

Discover two of OOP's core concepts: inheritance and polymorphism. Learn how to implement them to minimize code re-use and extend functionality, along with reviewing the differences between class-level data and instance-level data.

Class vs. instance attributes

Class-level attributes

Implementing logic for attributes

Changing class attributes

Class methods

Adding an alternative constructor

Building a BetterDate Class

Class inheritance

Create a subclass

Understanding inheritance

Customizing functionality via inheritance

Customize a subclass

Method inheritance

Inheritance of class attributes

Inheritance and Polymorphism

Learn how to compare objects, define and customize string representations of objects, and even how to apply inheritance to create and catch custom exceptions, enabling bespoke error-handling.

Operator overloading: comparing objects

Overloading equality

Checking class equality

Inheritance comparison and string representation

Object representation

Comparison and inheritance

String representation of objects

Exceptions

Catching exceptions

Custom exceptions

Congratulations

Integrating with Standard Python

Embark on a journey into the heart of Python programming with our comprehensive course offering a foundation in the principles and practices of object-oriented programming (OOP). Through a series of hands-on exercises and real-world examples, learners will gain proficiency in leveraging the power of Python's OOP paradigm to create efficient, modular, and reusable code.

Foundations of OOP
Delve into the fundamental concepts that form the foundation of object-oriented programming. You'll discover the core principles of classes and objects, learn how to define and instantiate objectives in Python and explore how to assign attributes during instantiation.

Inheritance
Expand your knowledge by mastering inheritance and creating subclasses that build on functionality defined in other classes. You'll distinguish between class-level and instance-level data, implement class methods, and customize the functionality of subclasses!

Equality, Exception Handling, and Best Practices
Explore the versatility of Python in handling object comparisons and discover techniques for effective string representation of objects, enabling human-readable outputs.
Learn how to fortify your code against unexpected errors and enhance its reliability through exception handling. Understand the importance of error detection and graceful error recovery, ensuring a smoother execution of your programs. Acquire best practices for writing clean, maintainable, and Pythonic code that adheres to OOP principles.

<h2>Foundations of OOP</h2>
Delve into the fundamental concepts that form the foundation of object-oriented programming (OOP). You'll discover the core principles of classes and objects, learn how to define and instantiate objectives in Python and explore how to assign attributes during instantiation.
<br><br>
<h2>Inheritance</h2>
Expand your knowledge by mastering inheritance and creating subclasses that build on functionality defined in other classes. You'll distinguish between class-level and instance-level data, implement class methods, and customize the functionality of subclasses!
<br><br>
<h2>Equality, Exception Handling, and Best Practices</h2>
Explore the versatility of Python in handling object comparisons and discover techniques for effective string representation of objects, enabling human-readable outputs.
Learn how to fortify your code against unexpected errors and enhance its reliability through exception handling. Understand the importance of error detection and graceful error recovery, ensuring a smoother execution of your programs. Acquire best practices for writing clean, maintainable, and Pythonic code that adheres to OOP principles.

Writing Functions in Python

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

Introduction to Object-Oriented Programming in Python

Associate Python Developer

Building Applications with OOP in Python

Professional Data Engineer in Python

Python Programming

A key benefit of OOP is the bundling of data and methods.

**Methods** encode the behavior of an object and are represented by functions.

**Attributes** encode the state of an object.

`.head()` is an example of an attribute of a DataFrame object.

**Object** is an abstract template describing the general states and behaviors.

OOP terminology

Introduction to Object-Oriented Programming in Python

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