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Introduction to Object-Oriented Programming in Python
4.8(2,599)26k studentsINTERMEDIATEEnglish
Korshub's take
The Korshub Take
This intermediate Python course teaches fundamental Object-Oriented Programming (OOP) concepts to build maintainable, modular applications. It covers defining classes, managing instance vs. class attributes, inheriting functionality through subclasses, customizing object representations, and robust exception handling.
Who It's For
Python developers and data engineers aiming to transition from procedural scripting to structured, reusable, object-oriented codebase design.
Key Takeaways
- Classes & Instantiation: Design custom classes, instantiate objects, and assign instance and class-level attributes.
- Inheritance & Subclassing: Create specialized subclasses to extend base class functionality and override methods effectively.
- Object Comparison & String Magic: Customize string representations (__str__, __repr__) and object equality evaluations.
- Exception Handling & Pythonic Best Practices: Fortify applications against unexpected runtime errors using graceful exception handling and clean code standards.
About this course
Foundations of OOP
Delve into the fundamental concepts that form the foundation of object-oriented programming (OOP). You'll discover the core principles of classes and objects, learn how to define and instantiate objectives in Python and explore how to assign attributes during instantiation.Inheritance
Expand your knowledge by mastering inheritance and creating subclasses that build on functionality defined in other classes. You'll distinguish between class-level and instance-level data, implement class methods, and customize the functionality of subclasses!Equality, Exception Handling, and Best Practices
Explore the versatility of Python in handling object comparisons and discover techniques for effective string representation of objects, enabling human-readable outputs. Learn how to fortify your code against unexpected errors and enhance its reliability through exception handling. Understand the importance of error detection and graceful error recovery, ensuring a smoother execution of your programs. Acquire best practices for writing clean, maintainable, and Pythonic code that adheres to OOP principles.Advertisement