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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-object-oriented-programming-master-class/
课程评论：没有评论
**课程名称：Python面向对象编程大师班** **课程概述：** 这门快速入门、对初学者友好的课程旨在帮助您在短短两小时内，从过程式思维模式转向编写清晰、模块化、可复用的 Python 代码，充分释放面向对象编程（OOP）的强大潜能。无论您是 Python 新手，还是希望巩固 OOP 理解的学习者，本课程都将提供清晰的讲解、生动的现实生活比喻以及动手编码示例，帮助您掌握并应用关键的 OOP 原则：类、对象、属性、方法、封装、继承和多态。 课程将从介绍 OOP 的重要性及其与过程式编程的对比开始。接着，我们将深入解析核心构建模块：创建类、定义实例属性和类属性、使用 `__init__()` 等构造函数以及编写实例方法。随后，您将学习访问控制（公有、保护、私有属性），使用 getter 和 setter 方法，并应用 property 装饰器来优雅地管理数据访问。 课程后半部分，您将深入探讨继承、方法重写以及多态的力量。借助 `super()` 函数，您将了解子类如何扩展和增强父类的行为。 学完本课程，您将能够编写专业的面向对象 Python 代码，无论是构建个人项目、为团队代码库做贡献，还是为面试做准备。 **先决条件：** 无需任何 OOP 经验。只需具备 Python 基础知识，即可快速提升您的编码技能！
Unlock the power of Object-Oriented Programming (OOP) in Python with this fast-paced, beginner-friendly course designed to take you from procedural thinking to clean, modular, and reusable code in just two hours.Whether you're a new Python learner or someone looking to solidify your understanding of OOP, this course offers clear explanations, real-world analogies, and hands-on coding examples to help you understand and apply key OOP principles: classes, objects, attributes, methods, encapsulation, inheritance, and polymorphism.You'll start by learning why OOP matters, and how it compares to procedural programming. Then we'll break down the core building blocks - creating classes, defining instance and class attributes, using constructors like __init__(), and writing instance methods. From there, you'll explore access control (public, protected, private attributes), use getter and setter methods, and apply property decorators to manage data access elegantly.In the second half of the course, you'll dive into inheritance, method overriding, and the power of polymorphism. With the help of the super() function, you'll see how child classes can extend and enhance the behavior of parent classes.By the end of the course, you'll be able to write professional, object-oriented Python code - whether you're building a personal project, contributing to a team codebase, or preparing for interviews.No prior OOP experience is required. Just bring your Python basics, and let's level up your coding skills - fast!
