Python OOP for Job‑Ready Clean Code (Real‑World Projects)

Explore the fundamentals of classes and objects in Python, create class and object attributes, understand constructors, access and modify values, and define and call methods in this hands-on module overview.

Learn Python's class construct by defining a car object, comparing class and object attributes, and implementing methods through the class constructor.

Learn how to define methods in Python classes using self and the def keyword, and how object attributes are tied to instances via the __init__ method.

Explore class attributes in Python, declared at the class level outside methods and accessible across all instances with the same value.

Learn to define methods in a Python class, add an engine_running attribute, and implement start_engine and stop_engine methods that set engine_running to true or false, using self and def keyword.

Learn to enhance a Python class by making __init__ accept parameters with defaults, enforce parameter order, and create unique objects with model year, color, moon roof, and engine status.

Define a main method and print hello from it; use the __name__ == '__main__' guard to run the main function when the script is executed, not when imported.

Create objects by instantiating a car class with make, model, year, and color, and set boolean attributes to true or false, preparing for attribute retrieval.

Access object and class attributes using dot notation, printing details like make, model, year, color, and tyres, and pull values from the object or class in Python object oriented programming.

Learn how to assign values to object attributes and class attributes, instantiate cars, and see how changing a class attribute updates all instances.

Explore calling methods on objects in Python by creating calc objects with two numbers, using total and diff methods to sum and subtract, and printing results in a main function.

Import a custom Python module created in a prior lesson, use its functions to perform calculations, test by running it directly, and import a class from another module.

Develop a Python program using object oriented programming concepts that prompts for employee details and prints a simple report with employee names, base salary, bonus, vacation hours, and retirement contributions.

The lecture presents a sample run of a Python object oriented program that prompts for name, base salary, and years of employment, calculating bonus, vacation hours, and retirement contributions.

Explore object oriented programming concepts in the module, including destructors and constructors. Learn about public and private access modifiers, and how to create getters, setters, and properties.

Explore how the destructor, a special Python method, runs when deleting objects to perform housekeeping and print object attributes such as make and model.

Explore how public access modifiers expose class members by default and access the Employee class's variables and methods, including monthly gross salary and annual bonus.

Learn how to implement private access modifiers in Python by using double underscores to hide variables like bonus and to conceal methods, ensuring internal use only.

Explore getter and setter methods in Python to safely access private variables, implement validation logic, and manage salary and bonus values through getters, setters, and properties.

Explore property annotations that create getter and setter properties for private variables, enabling access to base annual salary and bonus with built-in validation and dot notation.

Demonstrate read-only properties in Python by removing the setter to expose a read-only attribute like salary and bonus, using a class-level value shared across all objects.

Explore Python data types, variables and assignments, mutable and immutable concepts, operators, built-in functions, and input, type conversion, and print statements, with practical assignments to reinforce learning.

Explore inheritance in object oriented programming by deriving a full time management employee from an employee class, using super for initialization and calculating monthly salary and bonuses.

Explore object oriented design by building an employee hierarchy with inheritance, including hourly, salaried, contractor, and sales roles, and implement a payroll processor, annual bonuses, and commissions.

Explore inheritance in Python object oriented programming by comparing parent and child classes, fixing initialization errors, and examining one-parent and multiple-inheritance patterns through a payroll example.

Explore abstract classes and abstract methods in Python using the ABC module, preventing object creation of a base class like employee and enforcing method implementation.

Learn to enforce type safety by using is instance checks to filter objects before payroll processing, preventing sneaky employee types from being processed for bonuses.

Explore how child classes derive from a parent in a simple Python example, including multiple inheritance, and see how the method resolution order determines which method runs first.

Explore multiple inheritance in Python, examining how method resolution order (mro) determines which parent methods run for a given child class, with practical examples and outputs.

Demonstrate method resolution order in a multi-level inheritance chain, showing how objects access parent and child methods. Explain initialization flow and prepare debugging for complex inheritance structures.

Explore how Python resolves methods in a complex inheritance hierarchy, tracing a multi-level chain from base to derived classes to reveal the method resolution order.

Explore composition in Python by building a customer profile that contains a customer address object, and learn how to print combined information and adapt the design for different project needs.

Learn to implement composition by creating a customer address outside the profile and injecting it during initialization, then validate printing the address.

Explore composition by using a property to manage a customer address object within a customer profile, enforcing type checks and error handling with a try-except block to keep outputs clean.

Explore polymorphism in Python object oriented programming by calling the same method on different objects: dog, cat, and snake, that respond with class-specific behaviors like barking, meowing, and hissing.

Continue exploring polymorphism by building an abstract animal class and concrete dog, cat, and snake subclasses, implementing abstract methods and printing animal sounds to demonstrate runtime behavior.