


Tutorial on how to use the platform module to obtain system information in Python
Operating system related
- system(): operating system type (see example)
- version(): operating system version
- release(): operating system release number, for example, win 7 returns 7, and NT, 2.2.0, etc.
- platform(aliased=0, terse=0): operating system information string, combined with system()+win32_ver()[:3]
- win32_ver(release='', version='', csd='', ptype=''): win system related information
- linux_distribution(distname='', version='', id='', supported_dists=('SuSE', 'debiaare', 'yellowdog', 'gentoo', 'UnitedLinux', 'turbolinux'), full_distribution_name= 1): Linux system related information
- dist(distname='', version='', id='', supported_dists=('SuSE', 'debian', 'fedora', 'redhat', 'centos', 'mandrake', 'mandriva' , 'rocks', 'slackware', 'yellowdog', 'gentoo', 'UnitedLinux', 'turbolinux')): Try to obtain Linux OS release version information. Return (distname, version, id). dist means release version .
- mac_ver(release='', versioninfo=('', '', ''), machine=''): mac version
- java_ver(release='', vendor='', vminfo=('', '', ''), osinfo=('', '', '')): java version
- libc_ver(executable=r'c:Python27python.exe', lib='', version='', chunksize=2048): libc version, Linux related.
The returned tuple of the above corresponding version query corresponds to its formal parameters.
platform.system() 'Linux' # python 3.3.2+ 64 bits on debian jessie 64 bits 'Windows' # python 3.3.2 32 bits on windows 8.1 64 bits 'Windows' # python 3.3.2 64 bits on windows 8.1 64 bits 'Darwin' # python 3.4.1 64 bits on mac os x 10.9.4 'Java' platform.version() '#1 SMP Debian 3.10.11-1 (2013-09-10)' # python 3.3.2+ 64 bits on debian jessie 64 bits '6.2.9200' # python 3.3.2 32 bits on windows 8.1 64 bits '6.2.9200' # python 3.3.2 64 bits on windows 8.1 64 bits 'Darwin Kernel Version 13.3.0: Tue Jun 3 21:27:35 PDT 2014; root:xnu-2422.110.17~1/RELEASE_X86_64' # python 3.4.1 64 bits on mac os x 10.9.4 platform() 'Windows-7-6.1.7601-SP1' win32_ver() ('7', '6.1.7601', 'SP1', u'Multiprocessor Free') platform.dist() ('debian', 'jessie/sid', '') # python 3.3.2+ 64 bits on debian jessie 64 bits
System Information
- uname(): Returns tuple, system, node, release, version, machine, processor.
- architecture(executable=r'c:Python27python.exe', bits='', linkage=''): System architecture
- machine(): CPU platform, AMD, x86? (see example)
- node(): node name (machine name, such as Hom-T400)
- processor() : CPU information
- system_alias(system, release, version): Returns the corresponding tuple.. Useless.
- platform.architecture()
('64bit', 'ELF') # python 3.3.2+ 64 bits on debian jessie 64 bits ('32bit', 'WindowsPE') # python 2.7.2 32 bits on windows 7 64 bits ('64bit', 'WindowsPE') # python 3.3.2 64 bits on wndows 8.1 64 bits ('64bit', '') # python 3.4.1 64 bits on mac os x 10.9.4 platform.machine() 'x86_64' # python 3.3.2+ 64 bits on debian jessie 64 bits 'AMD64' # python 3.3.2 32 bits on windows 8.1 64 bits 'AMD64' # python 3.3.2 64 bits on windows 8.1 64 bits 'x86_64' # python 3.4.1 64 bits on mac os x 10.9.4 platform.node() 'Hom-T400' platform.processor() 'Intel64 Family 6 Model 23 Stepping 10, GenuineIntel' platform.uname() ('Windows', 'Hom-T400', '7', '6.1.7601', 'AMD64', 'Intel64 Family 6 Model 23 Stepping 10, GenuineIntel') uname_result(system='Linux', node='work', release='3.10-3-amd64', version='#1 SMP Debian 3.10.11-1 (2013-09-10)', machine='x86_64', processor='') # python 3.3.2+ 64 bits on debian jessie 64 bits uname_result(system='Windows', node='work-xxx', release='8', version='6.2.9200', machine='AMD64', processor='Intel64 Family 6 Model 58 Stepping 9,GenuineIntel') # python 3.3.2 32 bits on windows 8.1 64 bits uname_result(system='Darwin', node='mba', release='13.3.0', version='Darwin Kernel Version 13.3.0: Tue Jun 3 21:27:35 PDT 2014; root:xnu-2422.110.17~1/RELEASE_X86_64', machine='x86_64', processor='i386') # python 3.4.1 64 bits on mac os x 10.9.4
Python related
- python_version(): py version number
- python_branch(): python branch (subversion information), usually empty.
- python_build(): python compilation number (default) and date.
- python_compiler(): py compiler information
- python_implementation(): python installation implementation method, such as CPython, Jython, Pypy, IronPython (.net), etc.
- python_revision(): python type revision information, usually empty.
- python_version_tuple(): tuple divided by python version number.
- popen(cmd, mode='r', bufsize=None): portable popen() interface, executes various commands.
- python_verison()
'3.3.2+' # python 3.3.2+ 64 bits on debian jessie 64 bits '3.3.3' # python 3.3.2 32 bits on windows 8.1 64 bits python_version_tuple() ('2', '7', '2') python_build() ('default', 'Jun 12 2011 15:08:59') python_compiler() 'MSC v.1500 32 bit (Intel)' pl.python_implementation() 'CPython'
Get username:
>>> import getpass >>> getpass.getuser() 'root'
Get environment variables:
>>> import os >>> import pwd >>> os.environ['LANG'] 'en_US.UTF-8' >>> print os.getenv('LANG') en_US.UTF-8 >>> print os.getenv('PWD') /root >>> print os.getenv('HOME') /root >>> print os.getenv('USER') root >>> print os.getenv('HOSTNAME') localhost.localdomain >>> print os.getenv('SHELL') /bin/bash >>> pwd.getpwuid(os.getuid()) pwd.struct_passwd(pw_name='root', pw_passwd='x', pw_uid=0, pw_gid=0, pw_gecos='root', pw_dir='/root', pw_shell='/bin/bash') >>> pwd.getpwuid(os.getuid())[0] #获得用户名 'root' >>> pwd.getpwuid(os.getuid())[5] #获得家目录 '/root' >>> pwd.getpwuid(os.getuid())[6] #获得shell '/bin/bash'
There is also os.environ.get, which will return all environment variables as a dictionary

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

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

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

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

Hot Topics



VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

VS Code is available on Mac. It has powerful extensions, Git integration, terminal and debugger, and also offers a wealth of setup options. However, for particularly large projects or highly professional development, VS Code may have performance or functional limitations.

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

The key to running Jupyter Notebook in VS Code is to ensure that the Python environment is properly configured, understand that the code execution order is consistent with the cell order, and be aware of large files or external libraries that may affect performance. The code completion and debugging functions provided by VS Code can greatly improve coding efficiency and reduce errors.
