Introduction to using mvc design pattern in python
1. Code organization (directory structure)
2. MVC overview
MVC design pattern is the MVC framework.
The full name of MVC is Model View Controller, which is the abbreviation of model-view-controller. It is a software design model that uses an explicit separation of business logic and data. The method organizes the code and gathers the business logic into a component, so that the interface and user interaction around the data can be improved and personalized without the need to rewrite the business logic. MVC was uniquely developed to map traditional input, processing, and output functions into a logical graphical user interface structure.
3. Code
1. Data
#coding:utf-8 '''模拟数据,当然,这是一个元组。也可以是任意的数据库,只要你喜欢''' Quotes = ('过放荡不羁的生活,容易得像顺水推舟,但是要结识良朋益友,却难如登天。 —— 巴尔扎克', '我读的书愈多,就愈亲近世界,愈明了生活的意义,愈觉得生活的重要。 —— 高尔基', '人生并不像火车要通过每个站似的经过每一个生活阶段。人生总是直向前行走,从不留下什么。 —— 刘易斯', '要永远觉得祖国的土地是稳固地在你脚下,要与集体一起生活,要记住,是集体教育了你。那一天你若和集体脱离,那便是末路的开始。 —— 奥斯特洛夫斯基', '在学校和生活中,工作的最重要的动力是工作中的乐趣,是工作获得结果时的乐趣以及对这个结果的社会价值的认识。 —— 爱因斯坦')
2. Model layer
Only the model layer can directly access data
#_*_coding:utf-8 from mvc.database.quote import Quotes #导入数据 class QuotesModel(object): '''模型层''' def get_quote(self,index): '''根据索引读取数据 @parameter index 索引值 ''' try: valve = Quotes[index] except IndexError as err: valve = 'Not Found!' return valve
3. Control Device layer
#_*_coding:utf-8 from mvc.model.quote_model import QuotesModel from mvc.view.quoteterminalview import QuoteTerminalView class QuoteterminalController(object): '''控制器层''' def __init__(self): self.model = QuotesModel() self.view = QuoteTerminalView() def run(self): n = self.view.select_quote() try: index = int(n) quote = self.model.get_quote(index) self.view.show(quote) except ValueError as err: self.view.error('不合法的索引值')
4, view layer
#_*_coding:utf-8 class QuoteTerminalView(object): '''视图层''' def show(self, quote): '''显示查询结果 @parameter quote 接收数据''' print('您查询到的名人名言是:%s' % (quote)) def error(self, msg): '''打印错误消息 @msg msg 接收错误消息''' print("error: %s" % (msg)) def select_quote(self): '''读取用户的选择''' return raw_input("请输入编号进行查询:")
5, main program
#_*_coding:utf-8 '''主程序''' from mvc.controller.quoteterminalcontroller import QuoteterminalController def mains(): while True: controller = QuoteterminalController() controller.run() if __name__ == '__main__': mains()
The above is the detailed content of Introduction to using mvc design pattern in python. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.
