Object Oriented Programming using Python + Pycharm Hands-on

Learn what classes and objects are in Python, where objects are instances with attributes and behaviors. See how classes act as blueprints to create multiple objects.

Learn how to define a Python class with attributes and methods, create a car object, and use the self parameter to access attributes and implement an accelerate method.

Explore instance variables by creating a class with attributes and methods, instantiate objects like Ferrari, and access attributes and methods through a reference variable.

Explore how the self parameter represents the current object in Python, access instance variables with self, and distinguish instance variables from local variables across the object’s lifecycle.

Discover how to initialize class attributes in Python by declaring at creation, using methods with self, and setting values from main, with a practical car example.

Discover how to define Python constructors with __init__ to initialize objects at creation, how self and parameters work, and that Python provides a default constructor if you skip one.

Master constructors with default arguments in Python and see how default values shape object creation. Assign a default name when no parameter is passed to avoid errors in car instantiation.

Explore static members in Python by defining static methods with the @staticmethod decorator, which do not receive a first argument and can be called on the class or an instance.

Learn how inheritance lets a Python class reuse attributes and methods from a base class, such as account, while illustrating derived savings account and senior citizen account.

Explore the need for inheritance in Python by refactoring common account functionalities into a parent class, then extend with savings, senior citizen, and student accounts to reduce duplication.

demonstrate single inheritance in Python by creating an employee base class and a programmer subclass, showing access to parent attributes and methods and implementing a constructor and bonuses.

Learn how to implement multiple inheritance in Python by creating a programmer class that inherits both employee and administrator, and access their attributes and methods from the child class.

Explore multilevel inheritance in Python by modeling an employee, programmer, and junior programmer hierarchy, demonstrating access to parent class properties and shared methods through subclasses.

Discover how to define public, protected, and private class members in Python. Understand that Python relies on conventions, not keywords, with underscores signaling access in classes and inheritance.

Explore polymorphism, the ability of one entity to exhibit multiple behaviors in Python, demonstrated through operator overloading and method overriding with plus and multiply operators.

Explore operator overloading in Python by implementing the plus operator for a custom employee class, using a special method to sum salaries and enable adding two objects.

Explore method overriding in Python by implementing child class methods that replace parent class behavior, and use super to access the parent method within an inheritance hierarchy.

Learn how abstraction hides internal implementation and exposes a simple service interface, using an ATM example to show security, ease of implementation, improved maintainability, and ease of use.

Learn how to achieve abstraction in Python by creating abstract classes and abstract methods, leveraging the ABC meta, and implementing concrete car classes like Tesla and Audi that apply brakes.

Learn how encapsulation in Python binds code and data to hide complexity, using private and public members and data hiding with abstraction. This yields security, flexibility, easy enhancement, and maintainability.

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