


Introduction to Tornado's synchronous and asynchronous I/O in python (with examples)
This article brings you an introduction to Tornado’s synchronous and asynchronous I/O in Python (with examples). It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you. help.
Coroutine is a recommended programming method in Tornado. Using coroutine can develop simple and efficient asynchronous processing code.
Comparison of synchronous and asynchronous I/O
As we all know, the operating efficiency of the CPU is higher than disk storage and higher than network requests, which leads to the CPU's processing and storage of data or The pace of network requests (I/O operations) is inconsistent. At this time, you can choose synchronous or asynchronous I/O operations.
Synchronous I/O operations will cause the process to block until the I/O operation is completed;
Asynchronous I/O operations will not cause the requesting process to block.
Simple code example of Tornado synchronous I/O:
Code:
#导入Tornado的HTTP客户端 from tornado.httpclient import HTTPClient def synchronous_visit(): http_client=HTTPClient() #阻塞,知道对网址访问完成 respone=http_client.fetch("http://www.baidu.com") print(respone.body) synchronous_visit()
HTTPClient is Tornato's synchronous access HTTP client. The synchronous_visit() function in the above code uses a typical synchronous I/O operation to access the URL. The execution time of this function depends on the network speed and the response speed of the other party's server. Only when the access is completely completed and the result is obtained, the function can Execution complete.
Simple code example of Tornado asynchronous I/O:
from tornado.httpclient import AsyncHTTPClient def handle_response(response): print(response.body) def asyncronous_visit(): http_client=AsyncHTTPClient() http_client.fetch("http://www.baoidu.com",callback=handle_response)
AsyncHTTPClient is Tornado's asynchronous access HTTP client. In the asynchronous_visit() function in the above code, AsyncHTTPClient is used to asynchronously access the third-party website. The http_client.fetch() function will return immediately after the call without waiting for the actual access to be completed, resulting in asynchronous_visit() also being executed immediately. Finish. When the access to the URL is actually completed, AsyncHTTPClient will call the function specified by the callback parameter, in which the access results can be processed.
The above is the detailed content of Introduction to Tornado's synchronous and asynchronous I/O in python (with examples). For more information, please follow other related articles on the PHP Chinese website!

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.

Python is suitable for rapid development and data processing, while C is suitable for high performance and underlying control. 1) Python is easy to use, with concise syntax, and is suitable for data science and web development. 2) C has high performance and accurate control, and is often used in gaming and system programming.

The time required to learn Python varies from person to person, mainly influenced by previous programming experience, learning motivation, learning resources and methods, and learning rhythm. Set realistic learning goals and learn best through practical projects.

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.

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 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.


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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

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

Dreamweaver Mac version
Visual web development tools