# Python의 ���체 지향 프로그래밍
This is a DataCamp course: 뛰어들어서 클래스를 생성하고 상속과 다형성을 활용하여 코드를 재사용하고 최적화하는 방법을 배워보세요.
## Course Details
- **Duration:** ~4h
- **Level:** Advanced
- **Instructor:** Alex Yarosh
- **Students:** ~19,440,000 learners
- **Subjects:** Python, Programming, Emerging Technologies
- **Content brand:** DataCamp
- **Practice:** Hands-on practice included
- **Prerequisites:** Writing Functions in Python
## Learning Outcomes
- Python
- Programming
- Emerging Technologies
- Python의 객체 지향 프로그래밍
## Traditional Course Outline
1. OOP Fundamentals - In this chapter, you'll learn what object-oriented programming (OOP) is, how it differs from procedural-programming, and how it can be applied. You'll then define your own classes, and learn how to create methods, attributes, and constructors.
2. Inheritance and Polymorphism - Inheritance and polymorphism are the core concepts of OOP that enable efficient and consistent code reuse. Learn how to inherit from a class, customize and redefine methods, and review the differences between class-level data and instance-level data.
3. Integrating with Standard Python - In this chapter, you'll learn how to make sure that objects that store the same data are considered equal, how to define and customize string representations of objects, and even how to create new error types. Through interactive exercises, you’ll learn how to further customize your classes to make them work more like standard Python data types.
4. Best Practices of Class Design - How do you design classes for inheritance? Does Python have private attributes? Is it possible to control attribute access? You'll find answers to these questions (and more) as you learn class design best practices.
## Resources and Related Learning
No public datasets, resources, or related tracks are listed for this course.
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Writing Functions in Python1
OOP Fundamentals
In this chapter, you'll learn what object-oriented programming (OOP) is, how it differs from procedural-programming, and how it can be applied. You'll then define your own classes, and learn how to create methods, attributes, and constructors.
2
Inheritance and Polymorphism
Inheritance and polymorphism are the core concepts of OOP that enable efficient and consistent code reuse. Learn how to inherit from a class, customize and redefine methods, and review the differences between class-level data and instance-level data.
3
Integrating with Standard Python
In this chapter, you'll learn how to make sure that objects that store the same data are considered equal, how to define and customize string representations of objects, and even how to create new error types. Through interactive exercises, you’ll learn how to further customize your classes to make them work more like standard Python data types.
4
Best Practices of Class Design
How do you design classes for inheritance? Does Python have private attributes? Is it possible to control attribute access? You'll find answers to these questions (and more) as you learn class design best practices.
Python의 객체 지향 프로그래밍
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