Is python an assembly language?
Is python an assembly language? The essence of this problem is the concept of high-level language and low-level language. Assembly is a data machine language, while Python is a high-level programming language.
#So what are high-level languages and low-level languages?
The original computer programs were represented by sequences of 0s and 1s. Programmers directly used machine instructions without translation. They could execute the results by punching holes in the paper tape. Later, in order to facilitate memory, machine instructions represented by sequences of 0 and 1 were all mnemonic symbols. These mnemonics that corresponded one-to-one to the machine instructions became assembly instructions, and thus the assembly language was born. Both machine instructions and assembly instructions are machine-oriented and are collectively called low-level languages. Because it is a mnemonic for machine instructions for a specific machine, assembly language cannot be independent of the machine (specific CPU architecture). But assembly language also needs to be translated into machine instructions before it can be executed. Therefore, there is also a method of translating assembly language running on one machine into machine instructions running on another machine, and that is cross-assembly technology.
High-level language is a computer language that starts from the perspective of human logical thinking. The level of abstraction is greatly improved. It needs to be compiled into target code on a specific machine before it can be executed. A high-level language statement often requires several machine instructions. Finish. The machine-independent nature of high-level languages is achieved by compilers generating different object codes (or machine instructions) for different machines. Specifically speaking, to what extent should a high-level language be compiled? This is related to the compilation technology. It can be compiled into directly executable target code, or it can be compiled into an intermediate representation, and then obtained by different machines and System to execute, this situation usually requires a supporting environment, such as the support of an interpreter or a virtual machine. Java programs compiled into bytecode and then executed by virtual machines on different platforms are good examples. Therefore, saying that a high-level language does not depend on the machine means that the program itself of the high-level language remains unchanged on different machines or platforms, and the target code compiled by the compiler adapts to different machines. In this sense, through cross-assembly, some assemblers can also achieve portability between different machines, but the portability obtained through this approach is far less convenient and practical than high-level languages.
Python is a computer programming language. It is an object-oriented dynamic type language that was originally designed for writing automated scripts (shells). With the continuous updates of the version and the addition of new language features, it is increasingly used for the development of independent and large-scale projects.
The above is the detailed content of Is python an assembly language?. For more information, please follow other related articles on the PHP Chinese website!

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











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.

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.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

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.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".
