Python Object Oriented Programming Master Class

Explore how object oriented programming structures code around objects built from classes, acting as blueprints. Discover modularity, reusability, scalability, maintainability, and real world modeling that make Python OOP powerful.

Define an init constructor in a person class to initialize name and age with self, creating objects that have unique instance attributes, while class attributes are shared later.

Add a new method to the person class using self to access name and age, demonstrate string formatting, and print a greeting for each object.

Explore how instance methods operate on individual objects by using self, a constructor, and show_info to access per-object data like name and grade in a Python class.

Discover how the self keyword references the current object, and why it must be the first parameter in instance methods, demonstrated with a dog class using self.name and bark.

Explore the difference between instance attributes and class attributes by examining a car example: each object has its own model, while wheels are shared across all cars.

Modify instance attributes and class attributes in Python using a car example. Change a car's model on individual objects and adjust the class wheels value for all instances.

Create a python bank account class with a bank name class attribute, an init constructor for owner and balance, and deposit and withdraw methods that update balance and enforce funds.

Explore encapsulation in Python, using public, protected, and private attributes with underscores and name mangling, illustrated by a person class and bank ATM example.

Explore encapsulation by building a bank account class with public and private attributes, including constructor, show balance, deposit, withdraw, and getters and setters; demonstrate accessing the balance and error handling.

Learn how getter and setter methods provide controlled access to private variables by creating a student class with name and age, and enforcing age validation through a setter.

Explore how inheritance in Python lets you create a new class from an existing one to reuse and extend code, with a parent animal and a child dog example.

Explore how inheritance enables code reuse and maintainability as a dog uses an inherited speak method, while a cat overrides speak to produce a different sound, illustrating overriding.

Use the super keyword in Python to reuse the parent speak method and add new behavior. See how a bird chirps example demonstrates extending the parent method with super.

Master polymorphism in Python by seeing how the same speak method produces different behavior for dog, cat, and parrot objects through method overriding.

Build a structured Python task management system using object oriented programming, modules and packages, and json storage, with error handling and a command line interface.

Create a clean Python project structure for a task management system using vscode, organizing modules like main.py, task.py, user.py, manager.py, and a utils package with file_handler.py and error_handler.py.

Create the task class in Python, define __init__ with task_id, title, description, due date, priority (default normal), and completed (default false), and implement mark_complete and __str__ to display the status.

Defines a user class with id, name, and a tasks list, adds a task assignment method, and implements JSON save/load with basic error handling for task management.

Create a task manager class to load, add, list, and complete tasks using json data, with file and error handling to manage tasks and users.

Create and run the main function to drive a Python task manager, enabling add, list, and mark complete using user input, task IDs, and task attributes.