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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-mastery-from-absolute-beginner-to-advanced-oop/
课程评论：没有评论
课程名称：Python精通：从初学者到高级面向对象编程 课程概述： 本课程为绝对初学者设计，全面涵盖Python编程，从基础知识到高级的面向对象编程（OOP）概念。课程开始时，你将学习Python的基本要素，包括数据类型、变量、循环、条件语句和函数。随着学习的深入，将探讨更高级的Python主题，如类、继承、多态、封装和抽象。同时，我们还将学习如何使用pyenv在安全的虚拟环境中处理不同版本的Python。 学习内容包括： - 不同版本的Python处理：虚拟环境、pyenv、PEP指南，理解Python语法 - Python中的数字类型：int、float和complex - Python中的原子和引用对象类型 - Python中的字符串数据类型 - Python中的列表数据类型 - Python中的元组数据类型 - Python中的布尔数据类型 - Python中的字典数据类型 - Python中的集合和冻结集合数据类型 - Python中的二进制序列类型 - 循环及其用法 - 控制流语句：break和continue - 嵌套循环和条件语句 - 循环与嵌套数据结构的处理 - Python中的列表推导式 - Python中的input()函数 - 函数的定义及创建 - 位置参数和关键字参数 - 参数打包和解包运算符 - Python中的Lambda函数 - Python中的作用域 - 使用try-except处理异常 - Python中的模块和导入语句 - 装饰器作为设计模式的使用和实现 - 使用Python创建社交媒体的二维码生成器 - Python中的面向对象编程：类和实例 - 类、静态和实例方法 - 单继承和多继承 - 多层继承和层次继承 - 组合的概念 - 多态性 - 封装 - 访问器、设置器和属性 - 聚合 - 抽象 无论你是希望在软件开发、数据科学领域发展职业，还是希望拓展编程知识，这门课程都能为你在Python生态系统中的成功提供所需的技能和信心。现在就加入我们，开始精通Python吧！
Python Mastery: From Absolute Beginner to Advanced OOP. This comprehensive Python course is designed for absolute beginners and takes you all the way to advanced concepts in Object-Oriented Programming (OOP).Starting with the fundamentals of Python, you'll learn essential topics such as data types, variables, loops, conditionals, and functions.As you progress, you'll dive deeper into advanced Python topics like classes, inheritance, polymorphism, encapsulation, and abstraction. We will also explore how to work with different Python versions in secure virtual environments using pyenv.You will learn the following topics:* Work with Different Python Versions: Virtual Environments, Pyenv. PEP Guidelines, Understanding Python Syntax * Numeric Types in Python: int, float, and complex * Atomic and Reference Object Types in Python * String Data Type in Python * List Data Type in Python * Tuple Data Type in Python * Boolean Data Type in Python * Dictionary Data Type in Python * Set and Frozenset Data Types in Python * Binary Sequence Types in Python * Loops and How to Work with Them * Break and Continue: Control Flow Statements in Python * Nested Loops and Conditional Statements * Working with Loops and Nested Data Structures * List Comprehensions in Python * Input() Function in Python * What is a Function? Creating Functions in Python * Positional and Keyword Arguments in Python Functions * Argument Packing and Unpacking Operators in Python Functions * Lambda Functions in Python * What is Scope in Python? * Using try-except in Python Functions * What are Modules in Python: Working with Them. Import Statement * A Decorator as a Design Pattern in Python: How to Use and Implement Them * Creating a QR Code Generator for Your Social Media with Python * Object-Oriented Programming (OOP) in Python: Classes and Instances * Object-Oriented Programming in Python: Class, Static, and Instance Methods * Object-Oriented Programming in Python: Single and Multiple Inheritance * Object-Oriented Programming in Python: Multilevel and Hierarchical Inheritance * Object-Oriented Programming in Python: Composition * Object-Oriented Programming in Python: Polymorphism * Object-Oriented Programming in Python: Encapsulation * Object-Oriented Programming in Python: Getters, Setters, and Properties * Object-Oriented Programming in Python: Aggregation * Object-Oriented Programming in Python: Abstraction Whether you're aiming for a career in software development, data science, or just looking to expand your programming knowledge, this course provides the skills and confidence you need to succeed in the Python ecosystem.Join now and start mastering Python!
