Course
Introduction to Object-Oriented Programming in Python
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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.Prerequisites
Writing Functions in PythonOOP Fundamentals
Inheritance and Polymorphism
Integrating with Standard Python
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FAQs
Is this course suitable for beginners?
It is beginner-friendly for Python users, but assumes basic Python knowledge such as writing functions and working with variables. No prior OOP experience is required.
What can I do after completing this course?
You will be able to design and build your own Python classes, use inheritance to organize reusable code, and handle custom exceptions, skills used in software development, data engineering, and building maintainable Python projects.
Which OOP concepts does this course cover?
The course covers classes, objects, constructors, inheritance, polymorphism, class versus instance data, object comparison, string representation, and custom exception handling.
Why learn object-oriented programming in Python?
OOP helps you write cleaner, more reusable code. It is widely used in Python libraries like pandas and scikit-learn, and is expected knowledge for software engineer and data engineer roles.
Does this course cover error handling?
Yes. Chapter 3 shows how to create and catch custom exceptions by applying inheritance, giving you control over how your programs respond to unexpected inputs or states.
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