在MVC中,C层应该是互相独立的,但是面向对象时候类应该是可以复用的。
这个怎么理解?
最近再看YII2框架,都说他是面向对象开发,但是在C层中同样要遵守MVC模式,互相独立。这样如何实现面向对象?
MVC和面向对象改如何结合和理解?
回复内容:
在MVC中,C层应该是互相独立的,但是面向对象时候类应该是可以复用的。
这个怎么理解?
最近再看YII2框架,都说他是面向对象开发,但是在C层中同样要遵守MVC模式,互相独立。这样如何实现面向对象?
MVC和面向对象改如何结合和理解?
你必须知道几个点
1 面向对象是编程思想
2 mvc是一种设计思想
3 mvc和设计模式(Design Pattern
)无关
4 遵循mvc设计思想 设计一个系统 用什么语言 用不用OOP无所谓 一个是设计一个是实现
MVC只是一种模式,并不影响面向对象编程,C层中的一个Action可以想象为一个独立的入口,程序从这里开始。
大多数人会直接在C层对应的Action中写全部的业务逻辑和查询库之类的操作,并且不会再建立对象。我认为这种写法就是在用MVC写过程事的代码,并没有用上面向对象的思想。
而我认为,面向对象一定要有对象才可以,例如当我们需要修改用户名的时候,是对Account对象的name属性进行修改,然后在用Account::update()来对数据库操作,才算是面向对象,而不是直接在Action中对数据库中的某一条记录直接update操作。
可能有些偏题,这里有我写的一篇关于写代码方式的文章,希望能为你提供帮助。
C作用控制器可以理解为是程序运行的入口(抛开框架的实现过程不考虑),控制器处理流程。 可以复用的类被封装成模块,即M,模块可以用来操作数据库,也可以是一个实现某种功能的类库,并可以做到复用。
MVC已被滥用。有的时候MVC并不适用。MVC只是一种设计思想。
对象是对象类型,mvc是一种思想

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

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PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

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In PHP, use the clone keyword to create a copy of the object and customize the cloning behavior through the \_\_clone magic method. 1. Use the clone keyword to make a shallow copy, cloning the object's properties but not the object's properties. 2. The \_\_clone method can deeply copy nested objects to avoid shallow copying problems. 3. Pay attention to avoid circular references and performance problems in cloning, and optimize cloning operations to improve efficiency.

PHP is suitable for web development and content management systems, and Python is suitable for data science, machine learning and automation scripts. 1.PHP performs well in building fast and scalable websites and applications and is commonly used in CMS such as WordPress. 2. Python has performed outstandingly in the fields of data science and machine learning, with rich libraries such as NumPy and TensorFlow.


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