Introduction to Object-Oriented Programming in Python
Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!
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Course Description
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.For Business
Training 2 or more people?
Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and moreIn the following Tracks
Associate Python Developer
Go To TrackProfessional Data Engineer in Python
Go To TrackPython Programming
Go To Track- 1
OOP Fundamentals
FreeLearn what object-oriented programming (OOP) is, how it differs from procedural programming, and how it can be applied. You'll define your own custom classes containing methods, attributes, and constructors, and use them to create objects!
What is OOP?50 xpOOP terminology100 xpExploring objects and classes100 xpClass anatomy: attributes and methods50 xpUnderstanding class definitions100 xpCreate your first class100 xpAdding methods and attributes100 xpExtending a class100 xpClass anatomy: the __init__ constructor50 xpCorrect use of __init__50 xpAdd a class constructor100 xpBuilding a class from scratch100 xp - 2
Inheritance and Polymorphism
Discover two of OOP's core concepts: inheritance and polymorphism. Learn how to implement them to minimize code re-use and extend functionality, along with reviewing the differences between class-level data and instance-level data.
Class vs. instance attributes50 xpClass-level attributes100 xpImplementing logic for attributes100 xpChanging class attributes100 xpClass methods50 xpAdding an alternative constructor100 xpBuilding a BetterDate Class100 xpClass inheritance50 xpCreate a subclass100 xpUnderstanding inheritance100 xpCustomizing functionality via inheritance50 xpCustomize a subclass100 xpMethod inheritance100 xpInheritance of class attributes100 xp - 3
Integrating with Standard Python
Learn how to compare objects, define and customize string representations of objects, and even how to apply inheritance to create and catch custom exceptions, enabling bespoke error-handling.
Operator overloading: comparing objects50 xpOverloading equality100 xpChecking class equality100 xpInheritance comparison and string representation50 xpObject representation100 xpComparison and inheritance100 xpString representation of objects100 xpExceptions50 xpCatching exceptions100 xpCustom exceptions100 xpCongratulations50 xp
For Business
Training 2 or more people?
Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and moreIn the following Tracks
Associate Python Developer
Go To TrackProfessional Data Engineer in Python
Go To TrackPython Programming
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prerequisites
Writing Functions in PythonGeorge Boorman
See MoreCurriculum Manager, DataCamp
George is a Curriculum Manager at DataCamp. He holds a PGDip in Exercise for Health and BSc (Hons) in Sports Science and has experience in project management across public health, applied research, and not-for-profit sectors. George is passionate about sports, tech for good, and all things data science.
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