Learn Python programming from scratch
Learn how to use Python's @property decorator to create managed attributes with getters, setters, and deleters that keep your class interface clean and Pythonic.
Learn what polymorphism means in Python, how different classes can share the same interface, and how to write code that works with objects of any type that support the required operations.
Learn what duck typing means in Python, how it lets you write flexible code that works with any object that supports the right methods, and when to embrace or avoid it.
Learn what abstraction means in Python OOP, how to hide complexity behind simple interfaces, and how abstract classes and methods enforce design contracts.
Learn how to use Python's abc module to define abstract base classes, enforce method implementation in subclasses, and create formal interfaces.
Learn when to use composition over inheritance in Python, how to delegate work to contained objects, and why 'has-a' relationships often beat 'is-a' for flexible design.
Learn how Python compares objects using equality, identity, and rich comparison methods, and how to implement custom comparison logic for your classes.
Learn how to copy Python objects using shallow and deep copy, how the copy module works, and how to implement __copy__ and __deepcopy__ for custom classes.
Learn the key differences between class variables and instance variables in Python, when to use each, and how to avoid the most common pitfalls with shared mutable state.
Learn how to design Python classes that are reusable across projects, with clean interfaces, minimal dependencies, and patterns that make your code a joy to work with.
Learn the most common object-oriented programming mistakes in Python, from mutable default arguments to deep inheritance chains, and how to avoid them.
Learn what iterables and iterators are in Python, how they power for loops under the hood, and why understanding them unlocks cleaner data processing patterns.
