What is the difference between python and nodejs
The difference between python and nodejs: 1. python cannot directly manage multiple versions of dependent packages; while nodejs can directly use NPM for package management. 2. Python is divided into two major versions, 2 and 3, which are less compatible with each other; while the nodejs version and API are relatively stable and unified. 3. Python lacks the ability to compile JIT dynamically, but node can. 4. The learning cost of node is low.
The operating environment of this tutorial: windows7 system, nodejs 14.15.4&&Python3 version, DELL G3 computer.
Package and module management
- Dependent package multi-version management
- Python cannot be managed directly, and virtualenv needs to be used to separate different versions Environment
- nodejs NPM package management, you can rely on different versions of third-party modules at the same time
- Introduce modules
- python use from/import , it is difficult to distinguish different modules with the same name
- Other modules introduced by the nodejs module have locally valid names in this module, which is more free, flexible and convenient
- Export module
- python
- nodejs Just add attributes directly to exports, or assign a value to module.exports. It is not a language level, but a simple ordinary operation
The language itself
- Version unity
- Python is divided into two major versions, 2 and 3. Mutual compatibility is poor. Many modules require module versions of specific python versions, which is quite confusing.
- nodejs version and API are relatively stable and unified, and NPM is compatible with dependent modules of various versions. Version management is orderly and very good. Supports the version evolution of node core and third-party modules.
- Grammar
- python is indeed relatively concise and clear, especially the support of rich data structures. Various concise operators replace functions, which can be said to have rich syntactic sugar
- nodejs language is javascript, and the core is more streamlined. Although its own data structure and data processing are relatively simple, using coffee-script can make up for it. coffee-script is simply the javascript version of python
- Flexibility
- javascript prototype-based inheritance is more flexible
- nodejs event-based Processing makes hooks and extension points everywhere
- hackability
- python is not easy to hack
- javascript is very easy to hack
Performance
- They are all interpreted languages
- Python lacks dynamic compilation JIT capabilities
- nodejs v8 can JIT execute javascript, and the performance is better
- Concurrency model
- python requires multi-thread programming
- nodejs adopts Non-blocking asynchronous I/O, very efficient for non-CPU-intensive applications
Development quality and efficiency
- Both It is an interpreted language
- It cannot perform various checks during compilation
- But nodejs has various formats and syntax checkers in the javascript language for use
- You can use coffee-script to develop javascript, absorbing a lot of python syntax sugar
- build system
- nodejs has a complete build system (grunt/gulp)
- nodejs The richness, innovation and activity of web development resources are much higher than those of python
##Learning cost
- If you only have the energy to learn one language
-
- it must be javascript, because at least the browser front-end requires js
- js language core is smaller, more refined, and more The syntactic sugar and functionality are provided through modules or libraries
- nodejs itself can be used as a production web server, while python requires at least nginx proxy
Environment preparation -
- There is no python environment by default in Windows, but you can practice javascript in the debugger console in the browser
#Asynchronous programming framework comparison
- Comparison of JavaScript's nodejs and python's tornado
nodejs |
tornado | |
---|---|---|
v8 engine performance Very good | Python interpreter performance is poor | |
Use epoll and other efficient IO mechanisms, the performance is good | Use Epoll and other efficient IO mechanisms have good performance | |
Nodejs versions and peripheral module versions match well | Python is compatible with various versions Sexual issues, | |
nodejs supports x86/arm/power/sparc | python Due to the extensive use of c/c modules, cross-platform is poor |
Aspect(javascript)(python)##Package ManagernpmpipPlatform multi-version managernvirtualenvProcess Monitorpm2supervisor
Related recommendations: 《nodejs tutorial》
nodejs |
tornado | |
---|---|---|
The above is the detailed content of What is the difference between python and nodejs. 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 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 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.

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.

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 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.

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.

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.
