


What is Django? A brief introduction to MVC and MVT patterns in Django (pictures and text)
This article brings you what is Django? A brief introduction to Django (pictures and text) has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.
When I was learning Django before, I saw how to use the commands provided by others. I just used them if I didn’t know what they meant. The following is my own learning experience of learning Django. I hope it can help people who want to learn Django but don’t know how to start.
A brief introduction to Django
Features:
1) Weight Level framework
Compared with the Flask framework, Django natively provides numerous functional components to make development easier and faster.
Provide automated script tools for project engineering management
Database ORM support (Object Relational Mapping, English: Object Relational Mapping)
Template
Form
Admin management site
File management
Authentication authority
session mechanism
Cache
2) MVT mode
There is a programming model called MVC. Its core idea is division of labor and decoupling, so as to reduce coupling between different code blocks, enhance code scalability and portability, and achieve backward compatibility.
MVC’s full spelling is Model-View-Controller, which was first proposed by Trygve Reenskaug in 1978. It was invented by Xerox Palo Alto Research Center (Xerox PARC) in the 1980s for the programming language Smalltalk. Software design patterns are designed to apply traditional input, processing, and output tasks to graphical user interaction models. With the emergence of standard input and output devices, developers only need to focus on the analysis and implementation of business logic. It was later recommended as a design pattern for the Java EE platform of Oracle's Sun Company, and is welcomed by more and more developers using ColdFusion and PHP. Although the original division of labor is no longer used, the idea of this division of labor is still used and is widely used in software engineering. It is a typical and widely used software architecture model. Later, the idea of MVC was applied to Web development and was called the Web MVC framework.
MVC mode description
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Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


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