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Showing content from https://realpython.com/learning-paths/object-oriented-programming-oop-python/ below:

Object-Oriented Programming (OOP) (Learning Path) – Real Python

Learning Path ⋅ Skills: Python, OOP, Classes, Data Classes, Getters, Setters, Property, super(), SOLID, Inheritance, Composition, Factory Pattern

Dive into Python OOP! Learn everything from basic classes to advanced topics like super(), data classes, and design patterns. Enhance your coding with magic methods, managed attributes, and SOLID principles. Start building robust, scalable applications today!

Learning Path ⋅ 14 Resources

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Python uses object-oriented programming to group data and associated operations together into classes. In this video course, you'll learn how to write object-oriented code with classes, attributes, and methods.

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Data classes are one of the new features introduced in Python 3.7. When using data classes, you don't have to write boilerplate code to get proper initialization, representation, and comparisons for your objects.

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Learn how class constructors work in Python. You'll also explore Python's instantiation process, which has two main steps: instance creation and instance initialization.

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Learn how to provide multiple constructors in your Python classes. To this end, you'll learn different techniques, such as checking argument types, using default argument values, writing class methods, and implementing single-dispatch methods.

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Learn what magic methods are in Python, how they work, and how to use them in your custom classes to support powerful features in your object-oriented code.

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Learn what getter and setter methods are, how Python properties are preferred over getters and setters when dealing with attribute access and mutation, and when to use getter and setter methods instead of properties in Python.

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Learn about inheritance and composition in Python. You'll improve your object-oriented programming (OOP) skills by understanding how to use inheritance and composition and how to leverage them in their design.

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Learn about the SOLID principles, which are five well-established standards for improving your object-oriented design in Python. By applying these principles, you can create object-oriented code that is more maintainable, extensible, scalable, and testable.

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