Shulou(Shulou.com)06/02 Report--

This article mainly shows you the "what are the current mainstream Python frameworks", the content is easy to understand, clear, hope to help you solve your doubts, the following let the editor lead you to study and learn "what are the more mainstream Python frameworks" this article.

1 、 Django

When it comes to the Python framework, the first thing that comes to mind is Django. As a Python Web application development framework, Django can be said to be a widely used omnipotent framework. The purpose of Django is to enable developers to develop a website quickly, so it provides a lot of modules. In addition, Django is best known for its fully automated management background: it can automatically generate database structure and fully functional management background by using ORM and making simple object definitions. The biggest difference between it and other frameworks is that it has distinct and unique features, supports orm, and encapsulates the operation of the database into Python, which is a good feature for applications that need to apply to a variety of databases.

2 、 Flask

I believe you all know that Flask is a lightweight Web application framework written in Python. Flask is also called "microframework" because it uses a simple core and adds other functions with extension. Flask does not have database and form validation tools that are used by default. Based on this feature, users can develop a simple website at very little cost. Therefore, from this point of view, the Flask framework is very suitable for beginners. After learning the Flask framework, we can also consider learning the use of plug-ins.

3. Scrapy:Python 's crawler framework

Nowadays, Python crawler technology is regarded as a bonus skill for workers, so it is necessary to master Scrapy. Scrapy is a lightweight web crawler framework written in Python, which is the biggest difference between it and other Python frameworks. Because it is very convenient to crawl websites and obtain structural data, Scrapy has a wide range of uses, such as data mining, monitoring and automated testing, and so on.

4 、 Diesel

Diesel is a Greenlet-based event Iamp O framework that provides a neat API for writing web clients and servers. The biggest difference from other Python frameworks is that it supports TCP and UDP.

5 、 Cubes

As a lightweight Python OLAP framework, Cubes includes tools such as OLAP, multidimensional data analysis and browsing aggregated data (aggregated data).

6 、 Pulsar

Pulsar is the event-driven concurrency framework of Python. With pulsar, you can write out asynchronous servers running one or more activities in different processes or threads.

7 、 Tornado

The full name of Tornado is Torado Web Server, and just from its name we can know that it can be used as a Web server, but it is also a Python Web development framework. Tornado is obviously different from the current mainstream Web server framework and most Python frameworks, it is a non-blocking server, and it is quite fast. Other frameworks do not support asynchronous processing. It is also one of the more commonly used Python open source frameworks. When the proportion of functions that the framework can provide is getting smaller and smaller, and more content needs to be implemented, Tornado is a better choice.

These are all the contents of the article "what are the more mainstream Python frameworks at present?" Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.