Python for OOP: The A-to-Z OOP Python Programming Course

Define a Python class in a Jupyter notebook with a constructor to initialize name, roll number, and marks, then create objects from this blueprint.

Delve into Python classes, the self parameter, and attribute naming, and learn how to create objects, print attributes, and follow conventions for clear code.

Develop a product class with name, brand, model, and price using __init__ and self, and learn class name case-insensitivity and adding attributes through laptop and mobile objects.

Learn how methods drive object oriented programming in Python, from built-in and custom methods to using self and constructors. Create a method that evaluates marks and returns pass or fail.

Build a student class with name and marks, implement a result method to return pass or fail, and use a for loop to categorize five students.

Learn to build a python oop product class with an init and a discount method, applying percentage discounts to compute final prices using examples like laptop and mobile.

Explore class variables in Python to reduce redundancy and memory usage by sharing total marks across all instances. Learn to define and access class variables via the class name.

Define a circle class with a radius parameter and a class variable pi, then implement methods to calculate circumference and area, illustrating reduced code repetition and shared values.

Explore object oriented programming by building a laptop class, managing attributes, and using a dict to inspect and add fields; apply a product class exercise to adjust a class variable.

Explore object techniques and class variables in Python by building a discount system with per-object discounts, a dynamic final amount calculation, and automatic serial numbers.

Examine common class issues in Python object-oriented programming and learn how to enforce nonnegative prices, keep dependent attributes in sync, and use methods and properties to update a phone's specification.

Discover how class methods create constructors, using a laptop example to distinguish class variables, instances, methods, and constructors. Learn from string as a class method and applying discounts via self.

Learn to implement class methods in Python, pass the class as an argument, and use regex to extract name and price from text for object creation and discounts.

Explore static methods in Python OOP, implement a static method in a student class to reduce memory usage, and compare it with class and instance methods for readability and efficiency.

Build a date class that uses instance, class, and static methods to format dates as day-month-year, from numeric inputs or user-entered strings, in a three-part exercise.

Create a class method to extract a date from a string with regular expressions, convert it into a date object, and handle multiple formats by normalizing separators.

Explore static methods in Python for object-oriented programming by contrasting with class and instance methods, and learn how a static method formats dates without self or class parameters.

Explore abstraction and encapsulation in Python OOP with a practical phone class demonstrating how related attributes and methods stay encapsulated, while abstracting complex functionality for easy use.

Explore inheritance in object oriented programming in python, where a smartphone inherits features from a phone class, reducing duplication of attributes like brand, model, and price, and enabling methods.

Explore multilevel inheritance in Python by showing how a flagship inherits from smartphone, which inherits from phone, passing brand, model, name, and price via the super keyword.

Explore multiple inheritance in Python, learning how method resolution order selects between parent classes and how to inspect the order with help and __mro__ when using A, B, and C.

Explore method resolution order (MRO) and method overriding in Python, using a phone, smartphone, flagship inheritance chain to show how Python resolves methods and attributes.

Explore isinstance and issubclass in Python to determine object types and class hierarchies, using practical examples with phone, smartphone, and flagship classes.

Explore naming conventions in Python, noting that everything is public by default, and use underscore prefixes to denote private variables, with an apply_discount method.

Learn about name mangling in Python by using double underscores to prefix attributes, enabling class-based naming across inheritance and precise access to class methods.

Explore how dunder methods, including __str__ and __repr__, let you print a Python object's attributes instead of its memory location, with user versus developer perspectives.

Learn operator overloading in Python by using dunder methods, applying the plus operator to combine lists and custom phone objects, and implementing add, subtract, and multiply overloads.

Explore polymorphism, the last and most important topic in object oriented programming, and see how a single plus operator can behave differently across phone, smartphone, and flagship classes.

builds a Python object-oriented library class with an owner and a book list, plus functions to display books, add books, lend books, and return books.

Continue and finalize the Python OOP library management project by debugging errors, implementing a dynamic loop interface with options to display, lend, add, and return books via a main function.