search
HomeBackend DevelopmentPython TutorialPython获取Windows或Linux主机名称通用函数分享

通过python的os模块获取windows或者linux主机名的通用函数。

复制代码 代码如下:

#!/usr/bin/env python 
#coding=utf-8 
 
import os 
 
def hostname(): 
        sys = os.name 
 
        if sys == 'nt': 
                hostname = os.getenv('computername') 
                return hostname 
 
        elif sys == 'posix': 
                host = os.popen('echo $HOSTNAME') 
                try: 
                        hostname = host.read() 
                        return hostname 
                finally: 
                        host.close() 
        else: 
                return 'Unkwon hostname'
Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
How are arrays used in scientific computing with Python?How are arrays used in scientific computing with Python?Apr 25, 2025 am 12:28 AM

ArraysinPython,especiallyviaNumPy,arecrucialinscientificcomputingfortheirefficiencyandversatility.1)Theyareusedfornumericaloperations,dataanalysis,andmachinelearning.2)NumPy'simplementationinCensuresfasteroperationsthanPythonlists.3)Arraysenablequick

How do you handle different Python versions on the same system?How do you handle different Python versions on the same system?Apr 25, 2025 am 12:24 AM

You can manage different Python versions by using pyenv, venv and Anaconda. 1) Use pyenv to manage multiple Python versions: install pyenv, set global and local versions. 2) Use venv to create a virtual environment to isolate project dependencies. 3) Use Anaconda to manage Python versions in your data science project. 4) Keep the system Python for system-level tasks. Through these tools and strategies, you can effectively manage different versions of Python to ensure the smooth running of the project.

What are some advantages of using NumPy arrays over standard Python arrays?What are some advantages of using NumPy arrays over standard Python arrays?Apr 25, 2025 am 12:21 AM

NumPyarrayshaveseveraladvantagesoverstandardPythonarrays:1)TheyaremuchfasterduetoC-basedimplementation,2)Theyaremorememory-efficient,especiallywithlargedatasets,and3)Theyofferoptimized,vectorizedfunctionsformathematicalandstatisticaloperations,making

How does the homogenous nature of arrays affect performance?How does the homogenous nature of arrays affect performance?Apr 25, 2025 am 12:13 AM

The impact of homogeneity of arrays on performance is dual: 1) Homogeneity allows the compiler to optimize memory access and improve performance; 2) but limits type diversity, which may lead to inefficiency. In short, choosing the right data structure is crucial.

What are some best practices for writing executable Python scripts?What are some best practices for writing executable Python scripts?Apr 25, 2025 am 12:11 AM

TocraftexecutablePythonscripts,followthesebestpractices:1)Addashebangline(#!/usr/bin/envpython3)tomakethescriptexecutable.2)Setpermissionswithchmod xyour_script.py.3)Organizewithacleardocstringanduseifname=="__main__":formainfunctionality.4

How do NumPy arrays differ from the arrays created using the array module?How do NumPy arrays differ from the arrays created using the array module?Apr 24, 2025 pm 03:53 PM

NumPyarraysarebetterfornumericaloperationsandmulti-dimensionaldata,whilethearraymoduleissuitableforbasic,memory-efficientarrays.1)NumPyexcelsinperformanceandfunctionalityforlargedatasetsandcomplexoperations.2)Thearraymoduleismorememory-efficientandfa

How does the use of NumPy arrays compare to using the array module arrays in Python?How does the use of NumPy arrays compare to using the array module arrays in Python?Apr 24, 2025 pm 03:49 PM

NumPyarraysarebetterforheavynumericalcomputing,whilethearraymoduleismoresuitableformemory-constrainedprojectswithsimpledatatypes.1)NumPyarraysofferversatilityandperformanceforlargedatasetsandcomplexoperations.2)Thearraymoduleislightweightandmemory-ef

How does the ctypes module relate to arrays in Python?How does the ctypes module relate to arrays in Python?Apr 24, 2025 pm 03:45 PM

ctypesallowscreatingandmanipulatingC-stylearraysinPython.1)UsectypestointerfacewithClibrariesforperformance.2)CreateC-stylearraysfornumericalcomputations.3)PassarraystoCfunctionsforefficientoperations.However,becautiousofmemorymanagement,performanceo

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 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

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.

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

Atom editor mac version download

Atom editor mac version download

The most popular open source editor