Formation 90 min read Object-Oriented Programming

📦 Classes and Objects (OOP)

Python & Data Science Chapter : Object-Oriented Programming Sub-chapter : Classes and objects

Learning objectives

🎯 Objectives:\n
1Understand OOP\n2. Create classes\n3. Create objects\n4. Use __init__\n5. Understand self

Introduction

📖 Object-Oriented Programming (OOP) organizes code around objects.

Theoretical content

Class and object:\n
PYTHON
\nclass Person:\n    def __init__(self, name):\n        self.name = name\n

Practical examples

💻 Example: BankAccount class\n
PYTHON
\nclass BankAccount:\n    def __init__(self, owner):\n        self.owner = owner\n

Best practices

1PascalCase for class names\n✅ 2. Use properties (@property)\n✅ 3. Encapsulate data\n✅ 4. Use __str__ for representation

Common pitfalls

Forgetting self in methods\n
self is always the first parameter

Summary

Classes: blueprints\n✅ Objects: instances\n✅ Attributes: data\n✅ Methods: behaviors\n✅ __init__: constructor\n✅ self: reference to instance

Additional resources

📚 docs.python.org/3/tutorial/classes.html