One of the most popular programming languages in recent years is the powerful Python language. There are many uses for this language, and many programmers prefer to use Python for web development. Python is able to speed up the work of programmers due to its different frameworks. In this article, we will first go to the concept of framework and then examine the Python frameworks to become more familiar with them.

What is a framework?

A framework is a set of ready-made rules, standards, and libraries that greatly help programmers develop code. Many frameworks have been written for different programming languages, and you should use web frameworks, application development frameworks, and so on, depending on the field in which you are programming. In addition to reducing the size of the code, the ability to quickly update and provide software security are other capabilities of the framework. Frameworks can provide you with some of the common features of applications.

Introducing the best Python frameworks for web development

Python has many applications in various fields of web design, including web management systems and data analysis, and its frameworks provide you with many possibilities. To develop web-based software, you can do programming in pure form. Pure programming means do not use frameworks and create all the necessary classes, functions and variables. Another way is to use frameworks that save time and money by having ready-made modules and functions. Python frameworks reduce your coding volume and have application development capabilities that make it easier for programmers to work.

Python forms are divided into two categories: Full Stack and Unilateral Non-Stack. Full-stack frameworks support developers in both Front-End Web Design and Back-End Web Development. Non-Full Stack frameworks are only used to develop one side of the software. In this section, we review a number of Python Full Stack frameworks.

Django framework One of the most popular Python frameworks

Django framework is very popular among programmers due to its high speed and high capabilities in web development and is one of the best Python frameworks. Free, open source, and having plenty of Python libraries help developers develop applications. Django supports many databases and can transfer data between them. This Python framework has been used in many projects, including Instagram, Pinterest and Mozilla.

The Django framework uses the Model-View-Controller (MVC) architecture, which makes coding less and cleaner. Django also provides user interface design features and supports AJAX and RSS. One of the main reasons for using Django is that it can be flexible in different environments and reduce the cost of updating and adding new features to the system.

Web2Py is one of the best Python frameworks

This framework is also open source and database-based and has a tool for editing, testing and tracking errors. The ability to use multiple protocols simultaneously, high data security, having an Editor and MVC support encourage developers to use this framework. The framework provides many basic forms for developers and is designed to build web-based applications.

TurboGears framework One of the best Python frameworks

Turboggers is a powerful framework that requires more mastery of the Python language to work with, but the capabilities it provides for application development are well worth the effort. Support for MVC template, Python libraries, and support for various databases in this framework can meet the needs of programmers in web development. The development of this framework has made it suitable for use in non-full stack environments and acts like a micro framework.

Tornado framework One of the best Python frameworks

Tornado is a framework that is well known for its high performance and at the same time has the ability to control 10,000 connections in the network. User authentication system support is another benefit of this framework and is useful for developing applications that require strong performance and the ability to manage large numbers of users. This framework is better supported on Unix and Linux operating systems.

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