- Master Python with tutorials and tips on CodeStips.
Explore Python's class methods: a key OOP feature that enhances code organization. Learn how they differ from instance and static methods to write more flexible and efficient programs.
Python class names follow the CapWords convention, ensuring code is readable, maintainable, and professional for teams and solo developers.
Object-oriented programming in Python relies on class relationships like association, where classes connect without strong ownership, enabling flexible and maintainable design.
In Python, composition lets you build complex systems by combining objects instead of inheriting. This approach leads to more flexible, maintainable code. Learn when and how to use it effectively.
Regular classes require manual boilerplate code; dataclasses reduce redundancy with decorators. Use dataclasses for simple data storage and regular classes for complex behaviors.
Learn encapsulation in Python: bundling data and methods in classes, using access modifiers like private and protected, and ensuring data integrity with getters and setters.
The Book class in Python manages library books with instance methods like checking out or returning, operating on individual book instances with attributes like title, author, and status.
Learn to build a complete Library Book Tracker using Python and OOP. Manage book checkouts, returns, and user accounts while mastering classes, objects, inheritance, and encapsulation.
Python operator overloading allows custom classes to use built-in operators like + or * by defining specific methods for intuitive, elegant code behavior.
Optimize memory and performance in Python classes using slots, which replaces the default attribute dictionary, reducing overhead and speeding up access.