30 Exercices Orientés Objets avec Python

Dive into Object-Oriented Programming (OOP) with Python! This hands-on course guides you through 30 practical programming exercises, designed to solidify your understanding of core OOP concepts. Whether you're a beginner, intermediate, or advanced Python programmer, this course has something for you.

What you'll learn:

• Fundamental OOP Concepts: Master essential elements like instances, classes, attributes, properties, overloading, and inheritance.
• Practical Application: Apply your knowledge through a series of progressively challenging exercises.
• Python Proficiency: Enhance your Python skills with real-world OOP scenarios.

Course Breakdown (30 Exercises):

Beginner Level:

• Class Creation: Learn to define and create your own classes in Python.
• Instance Initialization: Understand how to create instances of your classes.
• Employee Class: Build a practical Employee class.
• Class Attributes: Work with and manipulate class-level attributes.
• Instance Display Modification: Learn to customize how instances are displayed.
• Inheritance: Implement inheritance to create specialized classes.
• List Inheritance: Inherit from the built-in list class.
• Employee Instance Creation: Practice creating multiple Employee instances.
• Error Identification: Develop debugging skills by finding and fixing errors in code.
• Class Inheritance: Create inheritance relationships between different classes.
• Attribute Modification: Learn to modify attributes of objects.
• Error Correction: Identify and correct errors in existing code.
• Using self: Understand and correctly implement the self parameter.

Intermediate Level:

• Attribute Modification with Methods: Dynamically change attribute values using methods.
• Avoiding Repetition with Inheritance: Leverage inheritance to reduce code duplication.
• Private Methods: Learn to create and use private methods.
• Error Detection: Identify and fix errors related to private methods.
• Static Methods: Implement static methods for class-level functionality.
• Instance Deletion: Learn how to remove instances from memory.
• Account Manager: Develop an Account class with associated methods.
• Method Overloading: Implement method overloading for flexible function calls.
• Attribute Increment: Increment attribute values within methods.
• Random Attribute Generation: Generate random attribute values.

Advanced Level:

• Attribute Modification Prevention: Protect attributes from direct modification.
• Context Manager with Area Calculation: Use a ContextManager to calculate the area of a rectangle.
• Email Class Creation: Build a robust Email class.
• Student Class Management: Develop a class to manage student data.
• Pizza Class Creation: Create a Pizza class with customizable options.
• Password Generator: Implement a password generator using OOP principles.
• Student Grade Management: Manage and calculate student grades.
• Instance Addition: Implement addition operations between instances of a class.

Learn by Doing:

Each exercise includes a detailed solution to help you grasp the underlying concepts. Utilize integrated unit tests within the Udemy platform to instantly verify your code's correctness and identify potential errors. This practical approach ensures you truly understand how OOP works in Python.