search
HomeBackend DevelopmentPython TutorialPython asynchronous programming: Revealing the essence of asynchronous programming, from entry to mastery

Python异步编程: 揭秘异步编程的精髓, 从入门到精通

For networkthe same operationpythonThe magic is online does not mean there is always something to do and nothing to do. In the online era, as long as someone is humble, in contrast, if you hear asynchronousPython, all problems with network code can be solved through asynchronousio. You have not correctly understood that we need to deal with Socket Because if you need to wait for socket data, you can use asynchronous IO. For example, we can check whether the socket can be used for operations before calling the socket() method to send data. There is no need to wait for the response to come back to us because python interprets the loop ourselves. After using the socket() method, you can immediately return the socket object and then whenever you check whether the socket can send data, if it can, we use the send() method to send data

Requires socket support

Because we use sockets we have to be more advanced. We need to make sure that the Python version uses the socket module because this is our basic building block in the python standard library because the socket module ensures that we can run on any socket supported operating system To work we also need the socket module to ensure that we can work on any operating system with socket support. We also need the socket module to ensure that the socket module can only be used when making an actual socket connection. But don't worry this will never happen because the Python interpreter loop will ensure that The socket module is always available

Asynchronous sockets

We have seen why we need socket support. Now let’s look at how sockets can help us in our task. As we highlighted before in the first example, we must explicitly instruct Python to interpret the loop. You must check whether the socket is present before processing the socket data. The operation can be performed because we don't have to wait for the response to come back to us because the Python interpretation loop will ensure that the socket module is always available. We do not need to wait for the socket to operate because the Python interpretation loop will ensure that the socket module is always available.

async and await

Python interpretation loop has two built-in methods asynchronous and await asynchronous represents an asynchronous task. For example, in the above example, we can wait for the connection to complete instead of establishing the connection immediatelyString It is a built-in method await that is responsible for actual work. await represents a waiting function. For example, in the above example, we need to call the connect() method to perform actual work.

example

The following example shows how to use asyncio to create a socket connection

import socket
import selectors

async def connect():
sock = socket()
sock = sock()
sel = selectors()
sel = sel()
sel = sel()
sel = sel()
sel = sel()
sel = sel()

Summarize

Asynchronous IO is a way to help us perform socket operations without waiting for the response to come back to us. This method uses the selector method to asynchronously call the connect() method and then waits for the result to return through await before doing other work

The above is the detailed content of Python asynchronous programming: Revealing the essence of asynchronous programming, from entry to mastery. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:编程网. If there is any infringement, please contact admin@php.cn delete
How does the choice between lists and arrays impact the overall performance of a Python application dealing with large datasets?How does the choice between lists and arrays impact the overall performance of a Python application dealing with large datasets?May 03, 2025 am 12:11 AM

ForhandlinglargedatasetsinPython,useNumPyarraysforbetterperformance.1)NumPyarraysarememory-efficientandfasterfornumericaloperations.2)Avoidunnecessarytypeconversions.3)Leveragevectorizationforreducedtimecomplexity.4)Managememoryusagewithefficientdata

Explain how memory is allocated for lists versus arrays in Python.Explain how memory is allocated for lists versus arrays in Python.May 03, 2025 am 12:10 AM

InPython,listsusedynamicmemoryallocationwithover-allocation,whileNumPyarraysallocatefixedmemory.1)Listsallocatemorememorythanneededinitially,resizingwhennecessary.2)NumPyarraysallocateexactmemoryforelements,offeringpredictableusagebutlessflexibility.

How do you specify the data type of elements in a Python array?How do you specify the data type of elements in a Python array?May 03, 2025 am 12:06 AM

InPython, YouCansSpectHedatatYPeyFeLeMeReModelerErnSpAnT.1) UsenPyNeRnRump.1) UsenPyNeRp.DLOATP.PLOATM64, Formor PrecisconTrolatatypes.

What is NumPy, and why is it important for numerical computing in Python?What is NumPy, and why is it important for numerical computing in Python?May 03, 2025 am 12:03 AM

NumPyisessentialfornumericalcomputinginPythonduetoitsspeed,memoryefficiency,andcomprehensivemathematicalfunctions.1)It'sfastbecauseitperformsoperationsinC.2)NumPyarraysaremorememory-efficientthanPythonlists.3)Itoffersawiderangeofmathematicaloperation

Discuss the concept of 'contiguous memory allocation' and its importance for arrays.Discuss the concept of 'contiguous memory allocation' and its importance for arrays.May 03, 2025 am 12:01 AM

Contiguousmemoryallocationiscrucialforarraysbecauseitallowsforefficientandfastelementaccess.1)Itenablesconstanttimeaccess,O(1),duetodirectaddresscalculation.2)Itimprovescacheefficiencybyallowingmultipleelementfetchespercacheline.3)Itsimplifiesmemorym

How do you slice a Python list?How do you slice a Python list?May 02, 2025 am 12:14 AM

SlicingaPythonlistisdoneusingthesyntaxlist[start:stop:step].Here'showitworks:1)Startistheindexofthefirstelementtoinclude.2)Stopistheindexofthefirstelementtoexclude.3)Stepistheincrementbetweenelements.It'susefulforextractingportionsoflistsandcanuseneg

What are some common operations that can be performed on NumPy arrays?What are some common operations that can be performed on NumPy arrays?May 02, 2025 am 12:09 AM

NumPyallowsforvariousoperationsonarrays:1)Basicarithmeticlikeaddition,subtraction,multiplication,anddivision;2)Advancedoperationssuchasmatrixmultiplication;3)Element-wiseoperationswithoutexplicitloops;4)Arrayindexingandslicingfordatamanipulation;5)Ag

How are arrays used in data analysis with Python?How are arrays used in data analysis with Python?May 02, 2025 am 12:09 AM

ArraysinPython,particularlythroughNumPyandPandas,areessentialfordataanalysis,offeringspeedandefficiency.1)NumPyarraysenableefficienthandlingoflargedatasetsandcomplexoperationslikemovingaverages.2)PandasextendsNumPy'scapabilitieswithDataFramesforstruc

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Safe Exam Browser

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.

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.