Python environment construction is suitable for many systems such as: Linux and Mac OS X, Unix (Solaris, Linux, FreeBSD, AIX, HP/UX, SunOS, IRIX, etc.), Win 9x/NT/2000, Macintosh (Intel, PPC, 68K), OS/2, DOS (multiple DOS versions), PalmOS, Nokia mobile phones, Windows CE, Acorn/RISC OS, BeOS, Amiga, VMS/OpenVMS, QNX, VxWorks, Psion
Python can also be ported to Java and .NET virtual machines. (Recommended learning: Python video tutorial)
Python uses the same virtual machine mechanism as Java. This construction idea can fully satisfy the same code on different operating systems. Operational needs; therefore, the applicability of the language on the operating system is determined only by the needs of the application itself. As a python developer, from experience, python is suitable for any operating system it supports. But in terms of the breadth of applications, most python commercial applications exist on Linux. Mainly used for testing, back-end functions and data mining.
In addition, I hope you will not stick to operating systems and languages. After all, they are just bridges for human-computer interaction. Being able to make full use of hardware performance and deliver tasks regularly is the top priority.
Python's latest source code, binary documents, news information, etc. can be viewed on Python's official website. You can download Python's documents on the official Python website. I personally recommend downloading HTML, PDF, PostScript and other formats. documentation.
Check whether the Python environment is installed on the system you are using. You can enter the "python" command through the terminal window to check whether Python has been installed locally and the installation version of Python.
Python has been ported to many platforms (with modifications to enable it to work on different platforms). You need to download the appropriate binaries for your platform and then install Python. If binaries for your platform are not available, you will need to manually compile the source code using a C compiler. Compiled source code is more selective in functionality and provides more flexibility for python installation.
For more Python related technical articles, please visit the
Python TutorialThe above is the detailed content of What systems is Python suitable for?. For more information, please follow other related articles on the PHP Chinese website!
Python: Automation, Scripting, and Task ManagementApr 16, 2025 am 12:14 AMPython 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.
Python and Time: Making the Most of Your Study TimeApr 14, 2025 am 12:02 AMTo 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: Games, GUIs, and MoreApr 13, 2025 am 12:14 AMPython 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.
Python vs. C : Applications and Use Cases ComparedApr 12, 2025 am 12:01 AMPython is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.
The 2-Hour Python Plan: A Realistic ApproachApr 11, 2025 am 12:04 AMYou can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.
Python: Exploring Its Primary ApplicationsApr 10, 2025 am 09:41 AMPython is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.
How Much Python Can You Learn in 2 Hours?Apr 09, 2025 pm 04:33 PMYou can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.
How to teach computer novice programming basics in project and problem-driven methods within 10 hours?Apr 02, 2025 am 07:18 AMHow to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...
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
Dreamweaver Mac version
Visual web development tools
PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool
SublimeText3 English version
Recommended: Win version, supports code prompts!
DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software
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),
