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This article mainly explains "what is Python and Node.JS". Interested friends may wish to have a look at it. The method introduced in this paper is simple, fast and practical. Now let the editor take you to learn "what is Python and Node.JS"?

What are Python and Node.js?

● Python

GitHub is the second most popular language and is also a popular language for machine learning.

Python (front-end and back-end programming languages) is a general-purpose, object-oriented programming language developed by Guido van Rossum. It is dynamically typed and supports a variety of programming paradigms.

Python can be used to create applications for desktops, networks, and mobile devices, along with a detailed collection of software packages and libraries to simplify development. Python's convenience makes it an ideal choice for back-end development, making it one of the most widely used programming languages.

The fun of coding with Python should be to see short, concise, easy-to-read classes that express many actions in a small amount of clear code, rather than annoying the reader with a lot of trivial code.

-Guido van Rossum

● Node.js-

Node.js (mainly used as a back-end framework) is essentially a JavaScript runtime environment created on Google Chrome's high-performance V8 JavaScript engine, which is a major factor in improving Node.js code efficiency.

Node.js is developed by Ryan Dahl and can be used to build efficient and scalable Web applications running on JavaScript, as well as for front-end and back-end development.

In this section, we will compare Python and Node.js in detail, taking into account a set of predefined factors to give you a better understanding of the two competitors.

1. Speed and performance

Python

Python's performance is relatively slow because it processes requests in a single process, unlike Node.js, which can do advanced multithreading. The use of Django can handle high loads to some extent, but this is still not a viable option for mobile applications.

Node.js

The underlying fast V8 engine interprets JavaScript code as a machine language, which greatly improves the efficiency and speed of Node.js code.

Node.js should be your practical choice when developing real-time Web solutions, such as notification systems that need to generate and share mission-critical updates. Again, due to some of these optimizations, Node.js reduces application load time.

The winner-Node.js took the lead here.

Must be used in 2020 excellent Python IDE and code editor with noteworthy features of excellent Python IDE and code editor 2. Trend technology

Python

In this era of intelligent technology, Python has become the first choice of trend technologies such as machine learning, data science and the Internet of things. For ML, there are tools and libraries in the community, as well as experts who seek help. For the Internet of things, there is a small Python variant called MicroPython that enables Python to support Internet of things devices.

Excellent Python libraries for machine learning and deep learning are suitable for Python libraries of modern machine learning models and projects

Node.js

Node.js can also build IoT devices, but it is more popular when developing Web applications that include real-time communications. Because of the popularity of JavaScipt, Node.js is increasingly used as a server-side framework.

Winner-the choice depends on the programmer and the type of project.

3. Architecture

Python

Python does not provide built-in support for asynchronous programming, so special tools are needed to enable this feature. One such library is asyncio, which developers can use to create asynchronous event-driven applications.

Node.js

The Node.js architecture involves a single-threaded event loop that, when paired with the non-blocking nature of Node.js, handles thousands of concurrent connections without causing thread context switching. This feature makes Node.js one of the best choices for real-time Web applications.

Winner-Node.js wins more points than Pythos by providing an event-driven architecture.

4. Grammar

Python

The syntax of Python allows you to write fewer lines of code to achieve more code. Python does not have curly braces, so it is easier to understand and debug. With some technical knowledge, most people can easily read Python code, which makes it a very suitable programming language for beginners.

Node.js

In terms of syntax, it is very similar to the browser's JavaScript syntax, and when used with Node.js, it does not challenge the prior knowledge of JavaScript.

The winner-Python's user-friendly syntax won here.

5. Universal Python

Python can be used for front-end and back-end cross-platform development and is bundled with macOS and Linux. Python is a powerful programming language for Web and desktop development, but its lack of mobile development capabilities makes it impractical.

Node.js

Node.js is also commonly used for front-end and back-end development of Web applications, thus translating to consistent use of JavaScript on both sides. Node.js makes it possible to develop a variety of cross-platform applications on Web, mobile, IoT and the cloud, thereby reducing development costs and workload.

Winners-all are capable choices, and they all win here.

6. Expandability

Python

For some reason, Python lacks proper scalability support. The runtime interpretation of Python code makes it a slower programming language. Python also does not support multithreading because the internal locking mechanism prevents it from running multiple tasks at the same time. However, these limitations can be overcome using Python implementations such as CPython or Jython, better architecture, and load balancing mechanisms.

Node.js

Node.js naturally provides scalability because it is built into the runtime environment and has a cluster module that can handle the full functionality of the computer. Node.js simplifies the vertical and horizontal scaling of Web applications by adding additional assets for vertical scaling and new nodes for horizontal scaling. In addition, you can use the policies listed below to manage extensions:

Clone

Decomposition

Split

Winner-Node.js is highly extensible compared to Python, and obviously wins a little here.

7. Expandability

Python

Python can be easily extended through multiple frameworks, such as Django,Flask,web2py, for full-stack and Web-based development. Python also allows you to extend the functionality of the C / C + + programming language using API provided in C source files. Java's pythonic implementation, called Jython, simplifies scripting and enables rapid application development with ease.

Node.js

Node.js comes with a set of frameworks that extend its functionality, some of which are:

Loopback.js-create a server API that connects to another server

DerbyJS-create mature real-time Web applications

Koa.js-acts as middleware, providing developers with access to multiple functions to speed up application development

Hapi.js- enables developers to create JSON API

Winners-both win here because they are equally capable.

8. Error handling

Python

The readability and compact syntax of Python make it easier for developers to find and debug errors. There is also a general view that Python is generally easier and better at exception handling and has a higher advantage over Node.js.

Node.js

Each programming language or runtime provides varying degrees of processing errors, because errors can occur at any time in the application life cycle. Similarly, Node.js has sufficient debugging error capabilities and excellent exception handling options.

Winners-both Python and Node.js have won in this respect.

9. Third-party library

Python

Python packages and libraries are handled by pip, the default package installer for Python. In terms of the number of packages, Python has more than 220000 packages distributed in a wide range of categories, such as data science, computing, image processing, and so on, to meet most of your needs.

Node.js

Node.js npm is an acronym for Node Package Manager and is used to handle software packages in Node.js. Npm has 1.3 million packages, beating pip by a staggering number, proving the ability to extend Node.js with the right package. All the software packages on npm can be easily obtained by a simple search.

Winner-Node.js won the championship because of the large number of packages.

10. The most suitable application

Python

Python is suitable for small and large projects, and more importantly, it is an important part of the data science industry, and most tools rely on Python. In addition to this application development, Python is also used in a number of areas, such as:

Data visualization

Image processing.

Neural network

Machine learning

Speech and facial recognition

Node.js

The event-based nature of Node.js makes it ideal for applications that need to handle concurrent requests in real time, including frequent data transfers from the client to the server. Node.js can also use it for real-time solutions, such as:

Messenger

Chat robot

Complex single-page application

Implementation of the Internet of things

Cooperative system

Streaming media platform

Winner-both competitors win because of their variety of ways to achieve it.

11. Community

Python

Python has a large and useful community when looking for support and useful resources online. The forum provides a good place to publish your queries and get suggestions from other developers, while opening new doors for collaboration. Skilled developers are free to contribute to Python and its software packages. For enterprises, this is an ideal place to contact good developers for recruitment.

Node.js

We are surprised that the Node.js community is full of enthusiastic and friendly developers who are always eager to help you. By contributing to the open source features of Node.js and its various software packages, the community makes it easier to showcase talent and can even help you find better career opportunities.

Winners-both have an active and helpful community.

twelve。 Use case

Python

Python has been deployed to many popular projects, with a brief list as follows:

Instagram uses Python as its back-end service

Google has used Python since its early days.

Spotify applications use Python for back-end services and data analysis

Netflix uses Python because their developers are loyal proponents of programming languages

Node.js

Node.js is a functional platform that has been used in many projects, some of which are well-known in the industry, such as:

LinkedIn uses Node.js because of its scalability and performance improvements brought about by its efficient features.

PayPal likes Node.js because it allows them to serve more than 200 million users in almost every currency without slowing down

Uber can run on Node.js because it can be well extended and can handle more requests without effort

13. Excellent books for beginners

Python

Python crash course

Head-First Python (2nd Edition)

Study hard on Python (3rd Edition)

Python programming: an introduction to computer Science (3rd Edition)

Node.js

An introduction to Node.js written by Basarat Ali Syed

Node.js Design pattern of Mario Casciaro

Practical Node.js: building real scalable Web applications

Simon Holmes obtains MEAN through Mongo,Express,Angular and Node

At this point, I believe you have a deeper understanding of "what is Python and Node.JS". You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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