Django is an open source web application framework written in Python. The MVC software design pattern is adopted, namely model M, view V and controller C. It was originally developed to manage news content-focused websites owned by Lawrence Publishing Group. And was released under the BSD license in July 2005. This frame is named after the Belgian gypsy jazz guitarist Django Reinhardt.
Django’s main goal is to make developing complex, database-driven websites easy. Django focuses on the reusability and "pluggability" of components, agile development and the DRY rule (Don't Repeat Yourself). Python is commonly used in Django, even including configuration files and data models.
Django officially established the foundation on June 17, 2008.
The core of the Django framework includes: an object-oriented mapper, used as an intermediary between the data model (defined in the form of Python classes) and the relational database; a regular expression-based URL dispatcher; a view system , for handling requests; and a template system.
The core framework also includes:
A lightweight, independent web server for development and testing.
A form serialization and validation system for conversion between HTML forms and data suitable for database storage.
A caching framework with several caching methods to choose from.
Middleware support allows intervention in various stages of request processing.
The built-in distribution system allows components in the application to communicate with each other using predefined signals.
A serialization system capable of generating or reading Django model instances represented in XML or JSON.
A system for extending the capabilities of template engines.
Django includes many applications in its "contrib" package, these include:
An extensible authentication system
Dynamic site management pages
A set of tools for generating RSS and Atom
A flexible Comment system
Tool to generate Google Sitemaps
Tool to prevent cross-site request forgery
A set of template libraries that support lightweight markup languages (Textile and Markdown)
A basic framework to help create geographic information systems (GIS)
Django can run on Apache 2 with mod python enabled, or any WSGI-compatible web server. Django also has the ability to start the FastCGI service, so it can be used on any machine that supports FastCGI.

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

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.


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