OOPs in Python

Explore object-oriented programming in Python, comparing functional programming, and learn how classes and objects support abstraction, inheritance, encapsulation, and code management for real world apps.

Understand the class vs object distinction in Python’s object-oriented programming with concrete examples of list, string, and integer objects and how to access their attributes and methods.

Learn to write your first Python class in object oriented programming by building a banking ATM class with a constructor, data properties, and methods for pin, balance check, and withdraw.

Clarify the difference between methods and functions in Python, showing methods inside classes use self, while functions exist outside. The lecture emphasizes industry terminology and includes examples.

Learn to create a class diagram for an OOP Python class, detailing the class name, data properties, and methods, with plus and minus notation for public and private members.

Explore magic methods, or dunder methods, in Python object-oriented programming and how constructors auto-execute, with a focus on user control versus self control.

Explain the concept of self in oop by using the self keyword to reference the current class instance and access its attributes and methods within the atm machine class.

Learn how a Python class accesses attributes with self, uses a greeting for India's Namaste or a generic Hello, and shows how to add or access attributes like age dynamically.

Explore reference variables in Python OOP, showing how objects p and q share the same memory location, how assigning one affects the other, and why identity matters for debugging.

Demonstrates passing a class object by reference to a function in Python, returning and accessing its attributes via dot notation (name and gender) within oop.

Explore how Python objects are mutable by modifying a class instance inside a function and observing the same memory id, and contrast lists, sets, and dictionaries with immutable strings.

Demonstrate how instance variables store different data for each object in a single class, using a person example with name and country to show distinct object states.

Explore encapsulation in Python by examining private variables, exemplified with an ATM balance protected from changes by double underscores. Future setter and getter concepts will control access to private data.

Use getter and setter methods to safely access and modify a private property, such as a balance, inside a class, with type checks to prevent invalid updates.

Store class objects in Python collections by placing instances in a list or dictionary, and iterate to access attributes like name and country.

Learn static variables and static methods in Python by enhancing an ATM class to generate unique customer IDs with a class variable, plus encapsulation with getters and setters.

Explore aggregation in python's object-oriented programming, where a customer owns an address object to model real-world relationships and enable code reuse. Show private property access via getters and hint inheritance.

Learn to draw an aggregation class diagram in OOP using a customer and address example, with the diamond indicating aggregation and ownership guiding software design.

Explore inheritance in oop by showing how a parent class provides login and register to child classes like student and instructor, highlighting class relationships and dry principles.

Learn to create inheritance class diagrams using the arrow symbol for inheritance, distinguish them from aggregation diamonds, and label data and method properties with plus and minus for access.

Explore inheritance in Python with phone and smartphone classes, covering constructors, parent versus child initialization, and private attribute access via the getter method and the super keyword.

Explore method overriding in OOP by comparing parent and child class methods; see how the child method takes precedence and how it falls back to parent when no override exists.

Explore how the super keyword calls parent class methods and accesses attributes, with examples of constructor and method overriding in Python's object-oriented programming.

Explore the types of inheritance in OOP in Python, including single, multi-level, hierarchical, and multiple inheritance. See how parent and child classes share properties and methods through examples and diagrams.

Explore polymorphism in OOP, covering method overriding, method overloading, and operator overloading, using the same function name with different signatures.

Explain abstraction in Python by hiding unnecessary details and exposing only relevant information, using an abstract base class and abstract methods to constrain junior programmers.