Course
Intermediate Object-Oriented Programming in Python
AdvancedSkill Level
Updated 02/2025
PythonProgramming4 hr11 videos40 Exercises3,300 XP8,253Statement of Accomplishment
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Level up your OOP skills!
Ready to unlock the power of object-oriented programming? You’re in the right place! In this course, you’ll build on the foundations of object-oriented programming to develop and hone the skills you need to write robust, production-ready code with Python.Multilevel inheritance and method overloading
Apply the basic principles of inheritance to create classes that inherit functionality from more than a single parent. Unlock a new array of capabilities with method overloading to create your own implementations of built-in operators, enabling your classes to be used in new and exciting ways.Type Hinting and Descriptors
Take your skills to the next level with type hinting, and watch as your code becomes easier to read, write, and troubleshoot. Customize the way an attribute is set, accessed, and deleted using descriptors and other Python-native techniques. Learn to build your own custom iterators to navigate a collection or generate a stream of data.Abstract Base Classes and Design Patterns
Discover the power of abstract base classes and how they can be used to create "blueprints" for similar classes. Practice building formal and informal interfaces to create and implement contracts between classes. Finally, the course will be wrapped up by architecting and building classes using the factory method design pattern.Prerequisites
Introduction to Object-Oriented Programming in Python1
Overloading and Multiple Inheritance
Recall the fundamentals of object-oriented programming, and unlock the functionality of Python operators using overloading. Design and build classes that implement multiple and multilevel inheritance.
2
Custom Class Features and Type Hints
Level-up your Python skills with type hinting. Practice creating magic methods to handle attempts to access an attribute outside an object’s namespace, or customize how an attribute is set. Build descriptors to control the way an attribute is stored, retrieved or deleted, and create your own custom iterators to traverse a collection of objects or a data stream.
3
Object-oriented design patterns
Learn to build "blueprints" for Python classes using abstract base classes. Explore how interfaces create contracts to be fulfilled by other classes. Leverage interfaces and build classes using the factory method design pattern.
Intermediate Object-Oriented Programming in Python
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FAQs
What OOP concepts does this course build on?
It builds on basic class creation and single inheritance, advancing to multiple inheritance, method overloading, descriptors, custom iterators, abstract base classes, and design patterns.
Does the course cover type hinting in Python?
Yes. Chapter 2 introduces type hinting to make your code easier to read, write, and troubleshoot, and shows how to apply it to class methods and attributes.
What design patterns are taught in this course?
You will learn the factory method design pattern, plus how to build abstract base classes as blueprints and formal and informal interfaces as contracts between classes.
Is introductory OOP knowledge required before starting?
Yes. You should complete Introduction to Object-Oriented Programming in Python along with courses on functions and intermediate Python concepts.
What practical skills will I gain from the custom iterators section?
You will learn to build your own iterators to traverse collections or generate data streams, a skill used in production code for handling large datasets efficiently.
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